# Iguazio

> Keep up to date on the latest trends in AI, genAI, data science & MLOps (operationalizing machine learning).

---


## Pages

- [De-Risk Your Gen AI Applications](https://www.iguazio.com/solutions/de-risk-your-gen-ai-applications/): Eliminate LLM risks for Gen AI apps. Meet compliance, reduce toxicity and biad and ensure peak model performance.
- [Company](https://www.iguazio.com/company/)
- [Gen AI Ops](https://www.iguazio.com/mlops-for-generative-ai/): Generative AI Ops streamlines the way you operationalize and scale your generative AI models with an approach that focuses on business value.
- [CI/CD for ML](https://www.iguazio.com/solutions/ci-cd-for-ml/): Automate and simplify the building, testing, deployment and monitoring of AI=, Continuously train, test and deploy your LLMs and ML models
- [AI in Secure IT Environments: AWS GovCloud & SCIF](https://www.iguazio.com/secure-it-environments-aws-govcloud/): The Iguazio AI Platform allows data science teams to run their machine learning pipelines on AWS GovCloud or in a SCIF.
- [Data Mesh](https://www.iguazio.com/solutions/data-mesh-for-mlops/): Implement a Data Mesh approach to data architecture to make data accessible, interconnected and valuable across the organization
- [Gaming](https://www.iguazio.com/solutions/gaming/): Use data science to optimize gaming experiences. Anticipate users' next move, reduce church, increase ROI and provide the best user experience possible.
- [Security](https://www.iguazio.com/security/): Securely develop, deploy and manage real-time AI applications at scale. Secure Environment for Development.
- [ODSC MLOps Resource Center](https://www.iguazio.com/mlops-resource-center/): Thanks for meeting with us! Enjoy the full MLOps resource center below. Find here the best resources from our experts to you.
- [Technology](https://www.iguazio.com/technology/): The Iguazio AI Platform enables you to develop, deploy and manage real-time AI applications at scale.
- [Iguazio’s ESG Strategy](https://www.iguazio.com/esg-strategy/): Iguazio is fully committed to sustainability and to helping our customers and partners make real-world impact where it matters most.
- [Questions](https://www.iguazio.com/questions/): Find here questions about data science, machine learning and serverless automation and meet Iguazio experts at the industry's leading events
- [Energy and Utilities](https://www.iguazio.com/solutions/energy-and-utilities/): Energy and utilities operate in data-rich environments of customer and sensor data which can be leveraged using AI to transform the way they do business.
- [Hackathon Terms](https://www.iguazio.com/hackathon-terms/): Find here the MLOps for Good Hackathon Terms and Conditions, read everything and contact us in case of doubts and suggestions.
- [MLOps Glossary](https://www.iguazio.com/glossary/): This glossary will help you understand the main terms, acronyms, and abbreviations related to AI apps at scale in an end-to-end MLOps platform.
- [Technology OLD](https://www.iguazio.com/technology-old-2/): The Iguazio Data Science Platform enables you to develop, deploy and manage real-time AI applications at scale.
- [MLRun](https://www.iguazio.com/open-source/mlrun/): Open source AI orchestration open source framework, to run code either locally on your PC for or on a large scale Kubernetes cluster.
- [MLOps](https://www.iguazio.com/mlops/): MLOps is the practice of creating continuous development, integration and delivery (CI/CD) of data and ML intensive applications.
- [Real-Time Feature Engineering](https://www.iguazio.com/real-time-feature-engineering/): Feature engineering made simple: Ingest real-time data, perform data transformation, generate and share real-time features across teams.
- [Model Monitoring](https://www.iguazio.com/solutions/model-monitoring/): Continuously track models in production to automatically detect drift and maintain accuracy in rapidly changing live environments
- [Healthcare](https://www.iguazio.com/solutions/healthcare/): The Iguazio Data Science Platform for Healthcare enables healthcare facilities to develop, deploy and manage AI applications.
- [Home - New](https://www.iguazio.com/): The Iguazio AI platform operationalizes and de-risks ML & gen AI applications at scale. Turn your AI projects into real business impact.
- [Customers](https://www.iguazio.com/customers/): Transforming AI initiatives into real-world outcomes with MLOps. Learn how customers use the Iguazio MLOps Platform.
- [Integrated Feature Store](https://www.iguazio.com/feature-store/): Engineer online and offline features, and make them accessible to everyone with one fully integrated feature store.
- [What Is A Machine Learning Pipeline?](https://www.iguazio.com/machine-learning-pipeline/): A machine learning pipeline helps to streamline and speed up the process by automating these workflows and linking them together.
- [What Is Enterprise Data Science?](https://www.iguazio.com/enterprise-data-science/): Enterprise data science combines data scientists, data engineers, IT teams, and more to generate value out of big data. 
- [What Are Machine Learning Pipeline Tools?](https://www.iguazio.com/machine-learning-pipeline-tools/): A machine learning pipeline tool helps automate and streamline machine learning pipelines. Learn more on our page.
- [Machine Learning Operations (MLOps)](https://www.iguazio.com/machine-learning-operations-mlops/): Machine learning operations (MLOps) is considered to be the backend supporting ML applications in business.
- [What is Operationalizing Machine Learning?](https://www.iguazio.com/operationalizing-machine-learning/): Operationalizing machine learning is one of the final stages before deploying and running an ML model in a production environment.
- [MLOps Live Webinar Series](https://www.iguazio.com/mlops-live-webinar-series/)
- [Iguazio Support Policy](https://www.iguazio.com/supportpolicy/): Explore Iguazio's support policy for seamless assistance. Find out how we are dedicated to helping you every step of the way.
- [Customer Support](https://www.iguazio.com/support/): Iguazio’s dedicated specialists are here to support you in deploying real-world data science applications for business impact.
- [Terms of Use](https://www.iguazio.com/terms-of-use/): Discover the comprehensive terms of use for the Iguazio platform. Ensure safe & compliant use by acquainting yourself with our policies.
- [Privacy Policy](https://www.iguazio.com/privacy-policy/): Understand your privacy rights on the Iguazio wesbite. Learn how we protect your data and prioritize your privacy.
- [Career Inner Page](https://www.iguazio.com/career-inner-page/): We’re building the future of data science. Join our team of experts, see our open positions.
- [AI Pipeline Orchestration](https://www.iguazio.com/solutions/pipeline-orchestration/): Manage your gen AI and ML workflow at scale to get from pilot to production faster. Hybrid and on prem deployment. Automations.
- [News & Events](https://www.iguazio.com/news-events/)
- [Nuclio](https://www.iguazio.com/open-source/nuclio/): Discover Nuclio for seamless serverless pipeline automation, enhancing scalability and performance for your data applications.
- [Careers](https://www.iguazio.com/careers/): We're building the future of AI. If you think you're the perfect fit for Iguazio send us your CV. Join Us!
- [Serverless Automation](https://www.iguazio.com/solutions/serverless-automation/): Automate each step of the pipeline with enterprise performance, scale and reliability using Nuclio, the open source serverless framework
- [Telecommunications](https://www.iguazio.com/solutions/telecommunications/): Create automatically self-healing systems, improving network optimization, churn reduction, customer engagement and more.
- [Manufacturing](https://www.iguazio.com/solutions/manufacturing/): Enhance manufacturing efficiency with Iguazio's AI platform. Real-time insights and AI-driven solutions.
- [Retail](https://www.iguazio.com/solutions/retail/): Transform retail with Iguazio's AI-driven platform. Boost sales, optimize operations, and enhance customer experience.
- [Smart Mobility](https://www.iguazio.com/solutions/smart-mobility/): The Iguazio AI platform for Smart Mobility enables you to operationalize and de-risk AI applications.
- [Ad-Tech](https://www.iguazio.com/solutions/ad-tech/): Use data science to optimize ad-tech. Anticipate users' next move, increase engagement and provide the best user experience possible.
- [Solutions](https://www.iguazio.com/solutions/): Leverage artificial intelligence to power true business impact with AI across industries, technologies and use-cases.
- [GPU Management](https://www.iguazio.com/solutions/gpu-as-a-service/): Accelerate AI, deep learning and data processing using a GPU provisioning solution, for faster and scalable AI-based applications
- [Open Source](https://www.iguazio.com/open-source/): Iguazio's open source projects for Real-time Serverless Functions and ML Pipeline Orchestration
- [Partners](https://www.iguazio.com/partners/): Join our channel and technology partner programs to work with a pioneering data science platform and benefit from Iguazio's growing partner ecosystem.
- [Contact](https://www.iguazio.com/contact/): Have a question or just need more info about Iguazio? Contact us and we’ll get back to you!
- [Financial Services](https://www.iguazio.com/solutions/financial-services/): From mitigating risks proactively, to creating personalized customer services, harness the power of AI to transform your bottom line.
- [AI Blog](https://www.iguazio.com/blog/): Keep up to date on the latest trends in AI, genAI, data science & MLOps (operationalizing machine learning).
- [Platform](https://www.iguazio.com/platform/): Meet the platform that automates AI and cuts the time to impact of your gen AI and ML applications. Click for more.

---


## Posts

- [13 Best Free Datasets for Call Centers and Telcos](https://www.iguazio.com/blog/13-best-free-datasets-for-call-centers-and-telcos/): Here are 13 open datasets and data sources for telcos and call centers, that you can use for (gen) AI projects
- [Preventing Data Leakage in Gen AI Chatbots: What’s Your Risk Appetite?](https://www.iguazio.com/blog/preventing-data-leakage-in-gen-ai-chatbots-whats-your-risk-appetite/): Chatbots are not just a tech choice, they're also a new security risk. The right guardrails depends on your organizational risk appetite.
- [Build Observable Data Flywheels for Production with Iguazio’s MLRun and NVIDIA NeMo Microservices](https://www.iguazio.com/blog/observable-data-flywheels-for-production-with-mlrun-and-nvidia-nemo/): We are proud to announce a new integration between MLRun and NVIDIA NeMo microservices, by extending NVIDIA Data Flywheel Blueprint.
- [Deploying Gen AI in Production with NVIDIA NIM & MLRun](https://www.iguazio.com/blog/deploying-gen-ai-in-production-with-nvidia-nim-mlrun/): How to use NVIDIA NIM with MLRun to build production-ready, scalable and high-performing gen AI applications.
- [MLRun v1.8 Now Available: Smarter Model Monitoring, Alerts and Tracking](https://www.iguazio.com/blog/mlrun-v1-8-release/): MLRun v1.8 adds features to make LLM and ML evaluation and monitoring more accessible, practical and resource-efficient.
- [The Future of AI Monitoring: How to Address a Non-Negotiable, Yet Still Developing, Requirement ](https://www.iguazio.com/blog/the-future-of-ai-monitoring-how-to-address-a-non-negotiable-yet-still-developing-requirement/): Here are our basic principles for designing a monitoring system to ensure gen AI applications are predictable, reliable, and safe at scale.
- [Building Agent Co-pilots for Proactive Call Centers](https://www.iguazio.com/blog/building-agent-co-pilots-for-proactive-call-centers/): How a large health insurance provider implemented an agentic co-pilot designed scale across multiple call centers and environments.
- [Best 10 Free Datasets for Manufacturing [UPDATED]](https://www.iguazio.com/blog/free-manufacturing-datasets/): Here are 10 excellent open manufacturing datasets and data sources for manufacturing data for machine learning. Get now.
- [11 Best Free Retail Datasets for Machine Learning [UPDATED]](https://www.iguazio.com/blog/13-best-free-retail-datasets-for-machine-learning/): Retail datasets for ML can be hard to find. Here are 17 excellent open retail datasets and data sources for your next ML project.
- [How to Manage Thousands of Real-Time Models in Production](https://www.iguazio.com/blog/how-to-manage-thousands-of-real-time-models-in-production/): Learn how to efficiently manage thousands of real-time models in production with strategies to ensure scalability, accuracy, and performance.
- [Introducing Agentic RAG: The Best of Both Worlds](https://www.iguazio.com/blog/introducing-agentic-rag-the-best-of-both-worlds/): How Agentic RAG revolutionizes AI-powered applications by making them more autonomous, intelligent, and context-aware.
- [Gen AI Trends and Scaling Strategies for 2025](https://www.iguazio.com/blog/gen-ai-trends-and-scaling-strategies-for-2025/): How should enterprises respond to the turbo charged changes in gen AI trends? Gartner's strategies for the year ahead.
- [AI Agent Training: Essential Steps for Business Success](https://www.iguazio.com/blog/ai-agent-training-essential-steps-for-business-success/): How to train AI agents that are not only powerful but also reliable, scalable, and aligned with business goals. Read more here.
- [Best 13 Free Financial Datasets for Machine Learning [Updated]](https://www.iguazio.com/blog/best-13-free-financial-datasets-for-machine-learning/): Developing ML models for financial or economic use cases? Here are 13 great open financial datasets to develop and train ML models.
- [Gen AI or Traditional AI: When to Choose Each One](https://www.iguazio.com/blog/gen-ai-or-traditional-ai-when-to-choose-each-one/): How do you decide when to use traditional AI vs. generative AI? Here's our roadmap to achieving your business goals with each.
- [Top Gen AI Demos of AI Applications With MLRun](https://www.iguazio.com/blog/top-gen-ai-demos-of-ai-applications-with-mlrun/): A roundup of our top gen AI demo videos showing how to build and manage AI applications with open-source MLRun.
- [6 Best Practices for Implementing Generative AI](https://www.iguazio.com/blog/6-best-practices-for-implementing-generative-ai/): This guide outlines six best practices to ensure your generative AI initiatives are effective: valuable, scalable, compliant and future-proof.
- [2025 Gen AI Predictions: What Lies Ahead?](https://www.iguazio.com/blog/2025-gen-ai-predictions-what-lies-ahead/): Cheers to a successful 2025! Who will thrive in this new ecosystem? Here are my predictions for the upcoming year.
- [Choosing the Right-Sized LLM for Quality and Flexibility: Optimizing Your AI Toolkit](https://www.iguazio.com/blog/choosing-the-right-sized-llm-for-quality-and-flexibility-optimizing-your-ai-toolkit/): Are you using an LLM that is fit to your specific use case? Here's our guide on choosing and optimizing LLMs for performance and cost.
- [MLRun v1.7 Launched — Solidifying Generative AI Implementation and LLM Monitoring](https://www.iguazio.com/blog/mlrun-v1-7-launched-solidifying-generative-ai-implementation-and-llm-monitoring/): MLRun 1.7 is now available with powerful features for GenAI implementation, with a special emphasis on LLM monitoring.
- [Gen AI for Marketing - From Hype to Implementation](https://www.iguazio.com/blog/gen-ai-marketing-hype-implementation/): Gen AI for marketing use cases - how? Read to learn a staged approach for rolling out gen AI, use cases, a demo & examples
- [Implementing Gen AI in Regulated Sectors: Finance, Telecom, and More](https://www.iguazio.com/blog/how-to-implement-gen-ai-in-highly-regulated-environments/): Gen AI challenges are exacerbated in highly-regulated industries, such as financial services and telecommunications. Here's what to do.
- [Building Scalable Gen AI Apps with Iguazio and MongoDB](https://www.iguazio.com/blog/building-gen-ai-applications-with-iguazio-and-mongodb/): Discover how to build & scale gen AI apps with Iguazio (acquired by McKinsey) and MongoDB - with simplicity, performance & risk mitigation
- [RAG vs Fine-Tuning: Navigating the Path to Enhanced LLMs](https://www.iguazio.com/blog/rag-vs-fine-tuning/): RAG uses external resources to train models, fine-tuning involves further training on specialized datasets. Learn when to use each one and why
- [Commercial vs. Self-Hosted LLMs: A Cost Analysis & How to Choose the Right Ones for You](https://www.iguazio.com/blog/commercial-vs-self-hosted-llms/): How to choose a proprietary LLM vs. self-hosting open-source. See use cases, requirements and benchmarks, and optimization tools for LLMs.
- [Transforming Enterprise Operations with Gen AI](https://www.iguazio.com/blog/transforming-enterprise-operations-with-gen-ai/): Effectively implement and scale gen AI while avoiding risk. See use cases, from R&D to automotive to the supply chain.
- [Future-Proofing Your App: Strategies for Building Long-Lasting Apps](https://www.iguazio.com/blog/future-proofing-your-gen-ai-aplications-strategies-for-building-long-lasting-apps/): Learn to build gen AI pipelines that are modular, so they can support up-to-date LLM deployment and management
- [LLM Validation and Evaluation](https://www.iguazio.com/blog/llm-validation-and-evaluation/): LLM validation & evaluation is about assessing the performance and capabilities. Learn LLM methods and see a demo with crowd sourcing.
- [Integrating LLMs with Traditional ML: How, Why & Use Cases](https://www.iguazio.com/blog/integrating-llms-with-traditional-ml-how-why-use-cases/): Integrating LLMs with traditional ML models enhances each model’s capabilities. Discover the benefits of integration and example use cases.
- [LLM Metrics: Key Metrics Explained](https://www.iguazio.com/blog/llm-metrics-key-metrics-explained/): The top LLM metrics to measure for higher performing models at higher efficiency, while ensuring privacy and eliminating bias and toxicity.
- [Generative AI in Call Centers: How to Transform and Scale Superior Customer Experience](https://www.iguazio.com/blog/generative-ai-in-call-centers-how-to-transform-and-scale-superior-customer-experience/): The coming transformative impact of gen AI on call centers, and how to build a gen AI call center analysis app now.
- [Why You Need GPU Provisioning for GenAI](https://www.iguazio.com/blog/why-you-need-gpu-as-a-service-for-genai/): GPU provisioning simplifies the management of GPUs to improve performance and save significant costs. Here's how and why to leverage
- [Implementing Gen AI for Financial Services](https://www.iguazio.com/blog/implementing-gen-ai-for-financial-services/): How Gen AI revolutionizes financial services, its potential impact, pitfalls, and strategies. Insights from industry experts included.
- [LLMOps vs. MLOps: Understanding the Differences](https://www.iguazio.com/blog/llmops-vs-mlops-understanding-the-differences/): LLMOps applies MLOps principles to LLMs. This post delves into the concepts of LLMOps and MLOps, explaining how and when to use each one.
- [Implementing Gen AI in Practice](https://www.iguazio.com/blog/implementing-genai-in-practice/): How to build an ‘AI Factory’ that streamlines and simplifies the process of rolling out new generative AI applications. Read more here.
- [How HR Tech Company Sense Scaled their ML Operations using Iguazio](https://www.iguazio.com/blog/how-hr-tech-company-sense-scaled-their-ml-operations-using-iguazio/): Customer story: How Sense built their AI chatbot using a complex NLP serving pipeline, and how they overcame some ML challenges with Iguazio.
- [What Lays Ahead in 2024? AI/ML Predictions for the New Year](https://www.iguazio.com/blog/ai-ml-predictions-for-the-new-year/): Iguazio CTO Yaron Haviv's predictions for the upcoming year: What will be different in the way businesses approach generative AI this year?
- [16 Best Free Human Annotated Datasets for Machine Learning](https://www.iguazio.com/blog/best-free-human-annotated-datasets-for-ml/): Human-annotated datasets offer a level of precision, nuance, and contextual understanding that automated methods struggle to match.
- [Introducing our New Book: Implementing MLOps in the Enterprise](https://www.iguazio.com/blog/introducing-our-new-book-implementing-mlops-in-the-enterprise/): A practical guide which guides IT leaders to bring data science to life for a variety of real-world MLOps scenarios. Find here.
- [Scaling MLOps Infrastructure: Components and Considerations for Growth](https://www.iguazio.com/blog/scaling-mlops-infrastructure-components-and-considerations-for-growth/): When it comes to scaling your MLOps operations, a high-quality, reliable and effective MLOps platform is essential for growth.
- [How to Build a Smart GenAI Call Center App](https://www.iguazio.com/blog/how-to-build-a-smart-genai-call-center-app/): Building a generative AI smart call center app is a promising solution for improving the customer experience and call center efficiency.
- [Top 27 Free Healthcare Datasets for Machine Learning](https://www.iguazio.com/blog/top-22-free-healthcare-datasets-for-machine-learning/): We pulled together 27 excellent open datasets in the field of healthcare for your next machine learning project. Learn more about it here.
- [Top 10 ODSC West Sessions You Must Attend in 2023](https://www.iguazio.com/blog/odsc-west-sessions-you-must-attend/): Planning to attend ODSC West 2023? We've compiled the top sessions at this conference that we're most looking forward to.
- [28 Best Free NLP Datasets for Machine Learning](https://www.iguazio.com/blog/nlp-datasets/): Building an AI application with NLP? You'll need a robust dataset. Here are some of the top open NLP datasets for you to leverage.
- [How to Mask PII Before LLM Training](https://www.iguazio.com/blog/how-to-mask-pii-before-llm-training/): The PII Recognizer is an open source function that can detect and anonymize PII data in datasets, so you can build Gen AI apps securely.
- [Model Observability and ML Monitoring: Key Differences and Best Practices](https://www.iguazio.com/blog/model-observability/): We delve into the distinctions between model observability and ML monitoring, shedding light on their unique attributes and functionalities.
- [Implementing MLOps: 5 Key Steps for Successfully Managing ML Projects](https://www.iguazio.com/blog/implementing-mlops-5-key-steps-for-successfully-managing-ml-projects/): MLOps accelerates the ML deployment process. Here are the critical steps of MLOps and what to look for in an MLOps platform.
- [MLOps for Generative AI in the Enterprise](https://www.iguazio.com/blog/mlops-for-generative-ai-in-the-enterprise/): How to leverage LLMs in live enterprise applications, and embed Responsible AI principles into the process. Find more here.
- [Mastering ML Model Performance: Best Practices for Optimal Results](https://www.iguazio.com/blog/mastering-ml-model-performance-best-practices-for-optimal-results/): Evaluating ML model performance is essential for ensuring the reliability, quality, accuracy and effectiveness of your ML models.
- [What are the Advantages of Automated Machine Learning Tools?](https://www.iguazio.com/blog/automl-advantages/): The benefits of AutoML, the available tools and how to choose the right tool for your industry, plus how to implement AutoMLOps
- [Integrating MLOps with MLRun and Databricks](https://www.iguazio.com/blog/integrating-mlops-with-mlrun-and-databricks/): How to leverage multiple MLOps tools to streamline model serving for complex real-time use cases. Find here.
- [Deploying Machine Learning Models for Real-Time Predictions Checklist](https://www.iguazio.com/blog/deploying-machine-learning-models-for-real-time-predictions-checklist/): Here are our recommendations for data professionals who want to improve and streamline their real-time model deployment process.
- [Top 7 ODSC East Sessions You Can’t Afford to Miss](https://www.iguazio.com/blog/odsc-east-2023/): We've compiled the top sessions at ODSC East Boston 2023 that we're most looking forward to, covering topics like real-time ML, LLMs, data privacy and more.
- [Kubeflow Vs. MLflow Vs. MLRun: Which One is Right for You?](https://www.iguazio.com/blog/kubeflow-vs-mlflow-vs-mlrun/): We dive into these three tools to better understand their capabilities, and how they fit into the ML lifecycle. Learn more here.
- [How Seagate Runs Advanced Manufacturing at Scale With Iguazio](https://www.iguazio.com/blog/how-seagate-runs-advanced-manufacturing-at-scale-with-iguazio/): How Seagate tackled their predictive manufacturing use case with continuous data engineering at scale, keeping costs low and productivity high.
- [McKinsey Acquires Iguazio: Our Startup’s Journey](https://www.iguazio.com/blog/mckinsey-acquires-iguazio-our-startups-journey/): When I founded Iguazio with my co-founders, I never thought I would be making this announcement on our company blog: McKinsey acquired Iguazio!
- [HCI’s Journey to MLOps Efficiency](https://www.iguazio.com/blog/hcis-journey-to-mlops-efficiency/): Deploying ML in the enterprise is a complex process. Jiri Steuer from HCI shares his top tips and ideas for achieving MLOps efficiency.
- [Distributed Feature Store Ingestion with Iguazio, Snowflake, and Spark ](https://www.iguazio.com/blog/distributed-feature-store-ingestion-with-iguazio-snowflake-and-spark/): Our step-by-step guide on how to leverage distributed ingestion into the Iguazio feature store with Snowflake and Spark for ingestion.
- [Looking into 2023: Predictions for a New Year in MLOps](https://www.iguazio.com/blog/mlops-predictions-for-2023/): As we raise our glasses to the upcoming year, here are my predictions of what we'll see in the MLOps industry in 2023
- [Iguazio Named a Major Player in the IDC MLOps MarketScape 2022](https://www.iguazio.com/blog/idc-mlopmarketscape-2022/): IDC MarketScape is based on a rigorous framework that highlights the factors expected to be the most influential in the both short- and long term.
- [Iguazio Named a Leader and Outperformer In GigaOm Radar for MLOps 2022](https://www.iguazio.com/blog/iguazio-named-a-leader-and-outperformer-in-gigaom-radar-for-mlops-2022/): Iguazio is thrilled to be named an Outperforming Leader in GigaOm’s latest 2022 report on MLOps.
- [Deploying Your Hugging Face Models to Production at Scale with MLRun](https://www.iguazio.com/blog/deploying-your-hugging-face-models-to-production-at-scale-with-mlrun/): Here's how to continuously deploy Hugging Face models into real business environments at scale, along with the required application logic.
- [Top 10 ODSC West Sessions You Must Attend!](https://www.iguazio.com/blog/top-10-odsc-west-sessions-you-must-attend/): We've compiled the sessions at ODSC West 2022 in San Francisco that we're most looking forward to, covering a wide range of topics.
- [How to Run Workloads on Spark Operator with Dynamic Allocation Using MLRun](https://www.iguazio.com/blog/how-to-run-workloads-on-spark-operator-with-dynamic-allocation-using-mlrun/): With Spark Operator, dynamic executor allocation saves big costs. Here's how to abstract away the implementation complexities with MLRun.
- [Building an Automated ML Pipeline with a Feature Store Using Iguazio & Snowflake](https://www.iguazio.com/blog/building-an-automated-ml-pipeline-with-a-feature-store-using-iguazio-snowflake/): Here's how to activate your Snowflake data by using the Iguazio feature store to build, store and share features from your Snowflake data.
- [Iguazio Product Update: Optimize Your ML Workload Costs with AWS EC2 Spot Instances](https://www.iguazio.com/blog/iguazio-product-update-optimize-your-ml-workload-costs-with-aws-ec2-spot-instances/): Choosing a spot instance is a cost-saving choice if you can be flexible about when your applications run and if can be interrupted.
- [From AutoML to AutoMLOps: Automated Logging & Tracking of ML](https://www.iguazio.com/blog/from-automl-to-automlops/): Here's how to embrace AutoMLOps, to automate ML engineering tasks so that your code is automatically ready for production.
- [How to Deploy an MLRun Project in a CI/CD Process with Jenkins Pipeline ](https://www.iguazio.com/blog/how-to-deploy-an-mlrun-project-in-a-ci-cd-process-with-jenkins-pipeline/): In this article, we will walk you through steps to run a Jenkins server in docker and deploy the MLRun project using Jenkins pipeline. 
- [Beyond Hyped: Iguazio Named in 8 Gartner Hype Cycles for 2022](https://www.iguazio.com/blog/beyond-hyped-iguazio-named-in-8-gartner-hype-cycles-for-2022/): We’re very excited to share that Iguazio has been named a sample vendor in eight Gartner Hype Cycles for 2022.
- [Build an AI App in Under 20 Minutes](https://www.iguazio.com/blog/build-an-ai-app-in-under-20-minutes/): Here's how to build simple AI applications that leverage pre-built ML models and allow you to interact with a UI to visualize the results.
- [Machine Learning Experiment Tracking from Zero to Hero in 2 Lines of Code ](https://www.iguazio.com/blog/machine-learning-experiment-tracking-from-zero-to-hero-in-2-lines-of-code/): Here's how to turn your existing model training code into an MLRun job and get the benefit of all the experiment tracking, plus more. 
- [Iguazio Recognized in Gartner's 2022 Market Guide for DSML Engineering Platforms](https://www.iguazio.com/blog/gartner-2022-market-guide-for-dsml-engineering-platforms/): We’re proud to share that Iguazio has been included in Gartner's 2022 Market Guide for DSML Engineering Platforms.
- [The Easiest Way to Track Data Science Experiments with MLRun](https://www.iguazio.com/blog/experiment-tracking/): Learn how to solve experiment tracking complexity concerns with MLRun, a new open source framework which optimizes the management of ML operations.
- [Top 9 ODSC Europe Sessions You Can’t Miss!](https://www.iguazio.com/blog/top-9-odsc-europe-sessions-you-cant-miss/): See you soon at ODSC Europe in London! Here's our list of the top recommended sessions we're looking forward to attending.
- [Best Practices for Succeeding with MLOps ](https://www.iguazio.com/blog/best-practices-for-succeeding-with-mlops/): In our latest webinar, Noah Gift sat down with us to discuss best practices for succeeding with MLOps, and much more.
- [Top 8 Recommended MLOps World 2022 Sessions](https://www.iguazio.com/blog/top-8-recommended-mlops-world-2022-sessions/): We've compiled the top sessions at MLOps World 2022 in Toronto that we're most looking forward to. See you there!
- [Using Snowflake and Dask for Large-Scale ML Workloads](https://www.iguazio.com/blog/using-snowflake-and-dask-for-large-scale-ml-workloads/): Snowflake’s Connector for Python is a great fit for large-scale ML workloads with Dask. Here’s how to use it.
- [ODSC East Boston 2022 - Top 11 Sessions for AI and ML Professionals to Attend](https://www.iguazio.com/blog/odsc-east-boston-2022-top-11-sessions-for-ai-and-ml-professionals-to-attend/): ODSC East Boston is fast approaching! Our picks for the top sessions covering AI/ML, MLOps, ML use cases, AI explainability, and more.
- [Real-Time Streaming for Data Science](https://www.iguazio.com/blog/real-time-streaming-for-data-science/): Explore real-time streaming for data science with serverless architecture and time series analysis to drive smarter insights.
- [GigaOm Names Iguazio a Leader and Outperformer for 2022](https://www.iguazio.com/blog/gigaom-names-iguazio-a-leader-and-outperformer-for-2022/): GigaOm gave Iguazio top scores on several evaluation metrics in the GigaOm Radar for Data Science Platforms 2022 report.
- [Iguazio named in Forrester's Now Tech: AI/ML Platforms](https://www.iguazio.com/blog/iguazio-named-in-forresters-now-tech-ai-ml-platforms-q1-2022/): We are delighted to share that Iguazio has been named in Forrester’s Overview of the leading AI/ML Platform Providers
- [Top 8 Machine Learning Resources for Data Scientists, Data Engineers and Everyone](https://www.iguazio.com/blog/top-8-machine-learning-resources-for-data-scientists-data-engineers-and-everyone/): Explore our list of the top ML and MLOps learning resources, with blogs, video series, online communities and more.
- [ML Workflows: What Can You Automate?](https://www.iguazio.com/blog/ml-workflows-what-can-you-automate/): How automating various steps in the ML workflow using a MLOps approach can help data teams achieve faster deployment of ML models
- [Orchestrating ML Pipelines at Scale with Kubeflow](https://www.iguazio.com/blog/orchestrating-ml-pipelines-scale-kubeflow/): It’s okay if you’re a hobbyist, but data science models are meant to be incorporated into real business applications. Read more here.
- [Automating MLOps for Deep Learning: How to Operationalize DL With Minimal Effort](https://www.iguazio.com/blog/automating-mlops-for-deep-learning-how-to-operationalize-dl-with-minimal-effort/): How to use MLRun to orchestrate and automate the process of taking deep learning pipelines from research to production.
- [What Are Feature Stores and Why Are They Critical for Scaling Data Science?](https://www.iguazio.com/blog/what-are-feature-stores-and-why-are-they-critical-for-scaling-data-science/): Feature stores enable data scientists to reuse features instead of rebuilding these features again for different models, saving them valuable time.
- [The Complete Guide to Using the Iguazio Feature Store with Azure ML - Part 4](https://www.iguazio.com/blog/the-complete-guide-to-using-the-iguazio-feature-store-with-azure-ml-part-4/): Part 4 of our 4-part blog series that will take you through how the Iguazio feature store works with Microsoft Azure Cloud.
- [The Complete Guide to Using the Iguazio Feature Store with Azure ML - Part 3](https://www.iguazio.com/blog/the-complete-guide-to-using-the-iguazio-feature-store-with-azure-ml-part-3/): Part 3 of a 4-part blog series that will take you through how the Iguazio feature store works with Microsoft Azure Cloud.
- [The Complete Guide to Using the Iguazio Feature Store with Azure ML - Part 2](https://www.iguazio.com/blog/the-complete-guide-to-using-the-iguazio-feature-store-with-azure-ml-part-2/): Part 2 of a 4-part blog series that will take you through how the Iguazio feature store works with Microsoft Azure Cloud.
- [The Complete Guide to Using the Iguazio Feature Store with Azure ML - Part 1](https://www.iguazio.com/blog/part-one-the-complete-guide-to-using-the-iguazio-feature-store-with-azure-ml/): This 4-part blog series will take you through how the Iguazio feature store works with Microsoft Azure Cloud.
- [Looking into 2022: Predictions for a New Year in MLOps](https://www.iguazio.com/blog/2022-predictions/): Before we toast to a new year ahead, here are my predictions of what awaits the MLOps industry in 2022.
- [Adopting a Production-First Approach to Enterprise AI](https://www.iguazio.com/blog/adopting-a-production-first-approach-to-enterprise-ai/): Modern AI applications require a continuous operational pipeline and a production-first approach to make it all feasible.
- [Introduction to TF Serving](https://www.iguazio.com/blog/introduction-to-tf-serving/): Our in-depth guide to what Tensorflow Serving is, why you need it, and how to use it, for beginners to experts.
- [ODSC West Conference- Top 6 Sessions You Must Attend](https://www.iguazio.com/blog/odscwest2021/): ODSC West Reconnect is the place to be for MLOps, data science, and AI. Here are our top 6 recommended sessions for this year's conference.
- [It Worked Fine in Jupyter. Now What? ](https://www.iguazio.com/blog/it-worked-fine-in-jupyter-now-what/): How to use MLRun to quickly deploy applications, and run on Kubernetes without changing code or learning a new technology. 
- [How to Bring Breakthrough Performance and Productivity To AI/ML Projects](https://www.iguazio.com/blog/how-to-bring-breakthrough-performance-and-productivity-to-ai-ml-projects/): Pure Storage and Iguazio empower enterprises to focus on their business applications and not the underlying infrastructure.
- [Building Machine Learning Pipelines with Real-Time Feature Engineering](https://www.iguazio.com/blog/building-real-time-ml-pipelines-with-a-feature-store/): An online feature store enables ML teams to harness real-time data, perform complex calculations in real time and make fast decisions based on fresh data.
- [Implementing Automation and an MLOps Framework for Enterprise-scale ML](https://www.iguazio.com/blog/implementing-automation-and-an-mlops-framework-for-enterprise-scale-ml/): Enterprise AI in production is still immature. Companies are implementing MLOps frameworks to get to production and scale up.
- [Using Automated Model Management for CPG Trade Success](https://www.iguazio.com/blog/using-automated-model-management-for-cpg-trade-success/): AI/ML can help CPG companies execute promotions with greater precision to obtain impactful results and higher ROI.
- [All That Hype: Iguazio Listed in 7 Gartner Hype Cycles for 2021](https://www.iguazio.com/blog/iguazio-listed-in-7-gartner-hype-cycles-for-2021/): We're proud to be mentioned in 7 Gartner Hype Cycles for the second year in a row!
- [Announcing the Winners of the MLOps for Good Hackathon](https://www.iguazio.com/blog/announcing-the-winners-mlops-for-good-hackathon/): We just wrapped up the first-ever MLOps for Good hackathon, and we are so thrilled by the incredible response we’ve gotten from the ML community. 

---


## News

- [Iguazio Named a Validated Partner of NVIDIA AI Factory](https://www.iguazio.com/news-events/news/iguazio-named-a-validated-partner-of-nvidia-ai-factory/)
- [Iguazio's Data Science Platform Named a 2025 Summer Top Performer](https://www.iguazio.com/news-events/news/iguazios-data-science-platform-named-a-2025-summer-top-performer/)
- [Iguazio Named a Top AI Platform in 2025 by LambdaTest](https://www.iguazio.com/news-events/news/iguazio-selected-as-a-leader-in-top-ai-platforms-20-by-lambdatest/)
- [Iguazio Named Best MLOps and Orchestration Platform by Chartis Research](https://www.iguazio.com/news-events/news/iguazio-selected-as-a-leader-in-best-mlops-and-orchestration-platform-by-chartis-research/)
- [Smart Network Maintenance in Africa Powered by Machine Learning](https://www.iguazio.com/news-events/news/smart-network-maintenance-in-africa-powered-by-machine-learning/): Smart Network Maintenance in Africa Powered by Machine Learning . Stay ahead with Iguazio.
- [Iguazio Recognized as a Leader in the SPARK Matrix Data Science & Machine Learning Platforms](https://www.iguazio.com/news-events/news/iguazio-recognized-as-a-leader-in-spark-matrix-data-science-and-machine-learning-platforms-q1-2025/)
- [Iguazio CTO: Successful AI depends on data AND trust](https://www.iguazio.com/news-events/news/iguazio-cto-successful-ai-depends-on-data-and-trust/): Iguazio CTO: Successful AI depends on data AND trust . Stay ahead with Iguazio.
- [Iguazio Named in the Constellation ShortList™ for MLOps Q1 2025](https://www.iguazio.com/news-events/news/iguazio-named-to-the-constellation-shortlist-for-mlops-q1-2025/)
- [An Architect’s Guide to the Top 10 Tools Needed to Build the Modern Data Lake](https://www.iguazio.com/news-events/news/an-architects-guide-to-the-top-10-tools-needed-to-build-the-modern-data-lake/): An Architect’s Guide to the Top 10 Tools Needed to Build the Modern Data Lake . Stay ahead with Iguazio.
- [McKinsey offering aims to bridge the gap from AI prototypes to production](https://www.iguazio.com/news-events/news/mckinsey-offering-aims-to-bridge-the-gap-from-ai-prototypes-to-production-2/): McKinsey offering aims to bridge the gap from AI prototypes to production . Stay ahead with Iguazio.
- [Iguazio Named a 2024 Top Performer MLOps Platform](https://www.iguazio.com/news-events/news/2024-top-performer-mlops-platform/)
- [AiThority Interview with Asaf Somekh, Co-Founder & CEO of Iguazio (acquired by McKinsey)](https://www.iguazio.com/news-events/news/aithority-interview-with-asaf-somekh-co-founder-ceo-of-iguazio-acquired-by-mckinsey/): AiThority Interview with Asaf Somekh, Co-Founder & CEO of Iguazio (acquired by McKinsey) . Stay ahead with Iguazio.
- [Iguazio Recognized in the 5 Best End-to-End Open Source MLOps Tools](https://www.iguazio.com/news-events/news/5-best-end-to-end-open-source-mlops-tools/)
- [The Architect’s Guide to the GenAI Tech Stack — 10 Tools](https://www.iguazio.com/news-events/news/mckinsey-offering-aims-to-bridge-the-gap-from-ai-prototypes-to-production/): The Architect’s Guide to the GenAI Tech Stack — 10 Tools . Stay ahead with Iguazio.
- [McKinsey accelerates gen AI value creation with Iguazio](https://www.iguazio.com/news-events/news/mckinsey-accelerates-gen-ai-value-creation-with-iguazio/): McKinsey accelerates gen AI value creation with Iguazio . Stay ahead with Iguazio.
- [Iguazio Selected as a Leader in the Constellation's ShortList™ MLOps – Feb 2024](https://www.iguazio.com/news-events/news/iguazio-named-to-constellations-shortlist-mlops-feb-2024/): Iguazio Selected as a Leader in the Constellation's ShortList™ MLOps – Feb 2024 . Stay ahead with Iguazio.
- [McKinsey & Company receives the MongoDB 2024 Transformation Partner Award for its work with Iguazio](https://www.iguazio.com/news-events/news/mckinsey-company-receives-the-mongodb-2024-transformation-partner-award-for-its-work-with-iguazio/): McKinsey & Company receives the MongoDB 2024 Transformation Partner Award for its work with Iguazio . Stay ahead with Iguazio.
- [Iguazio Selected as a Leader in the CB Insights LLMOps (Large Language Model Operations) Market Map](https://www.iguazio.com/news-events/news/iguazio-named-to-the-cb-insights-llmops-large-language-model-operations-market-map/): Iguazio Selected as a Leader in the CB Insights LLMOps (Large Language Model Operations) Market Map . Stay ahead with Iguazio.
- [Igauzio Selected as a Leader in the 21 Best Artificial Intelligence Platforms Of 2024](https://www.iguazio.com/news-events/news/the-21-best-artificial-intelligence-platforms-of-2024/): Igauzio Selected as a Leader in the 21 Best Artificial Intelligence Platforms Of 2024 . Stay ahead with Iguazio.
- [Iguazio Selected as a Leader in the Constellation's ShortList™ MLOps](https://www.iguazio.com/news-events/news/iguazio-listed-in-constellations-shortlist-mlops/): Iguazio Selected as a Leader in the Constellation's ShortList™ MLOps . Stay ahead with Iguazio.
- [The (un)real world of Generative AI](https://www.iguazio.com/news-events/news/the-unreal-world-of-generative-ai/): The (un)real world of Generative AI . Stay ahead with Iguazio.
- [Musk, AI, And 'Civilizational Destruction: Prophecy or Product Launch?](https://www.iguazio.com/news-events/news/musk-ai-and-civilizational-destruction-prophecy-or-product-launch/): Musk, AI, And 'Civilizational Destruction: Prophecy or Product Launch? . Stay ahead with Iguazio.
- [McKinsey acquires Iguazio, a leader in AI and machine-learning technology](https://www.iguazio.com/news-events/news/iguazio-acquired-by-mckinsey/): McKinsey acquires Iguazio, a leader in AI and machine-learning technology . Stay ahead with Iguazio.
- [Iguazio Named a Major Player in the IDC MLOps MarketScape 2022](https://www.iguazio.com/news-events/news/iguazio-named-a-major-player-in-the-idc-mlops-marketscape-2022/): With Iguazio, Sense powers a wide range of AI products aimed at increasing the efficiency and scalability of their AI operations.
- [Iguazio Named a Leader and Outperformer In GigaOm Radar for MLOps 2022](https://www.iguazio.com/news-events/news/iguazio-named-a-leader-and-outperformer-in-gigaom-radar-for-mlops-2022/): With Iguazio, Sense powers a wide range of AI products aimed at increasing the efficiency and scalability of their AI operations.
- [Iguazio Named in 8 Gartner Hype Cycles for 2022](https://www.iguazio.com/news-events/news/iguazio-named-in-8-gartner-hype-cycles-for-2022/): With Iguazio, Sense powers a wide range of AI products aimed at increasing the efficiency and scalability of their AI operations.
- [Sense Selects Iguazio for AI Chatbot Automation ](https://www.iguazio.com/news-events/news/sense-selects-iguazio-for-ai-chatbot-automation/): With Iguazio, Sense powers a wide range of AI products aimed at increasing the efficiency and scalability of their AI operations.
- [Iguazio Partners with Snowflake to Automate and Accelerate MLOps](https://www.iguazio.com/news-events/news/iguazio-partners-with-snowflake-to-automate-and-accelerate-mlops/): Iguazio Partners with Snowflake to Automate and Accelerate MLOps . Stay ahead with Iguazio.
- [Gartner 2022 Market Guide for DSML Engineering Platforms](https://www.iguazio.com/news-events/news/gartner-2022-market-guide-for-dsml-engineering-platforms/): Gartner 2022 Market Guide for DSML Engineering Platforms . Stay ahead with Iguazio.
- [Iguazio named in The Coolest Data Science And Machine Learning Tool Companies Of The 2022 Big Data 100](https://www.iguazio.com/news-events/news/the-coolest-data-science-and-machine-learning-tool-companies-of-the-2022-big-data-100/): Iguazio named in The Coolest Data Science And Machine Learning Tool Companies Of The 2022 Big Data 100 . Stay ahead with Iguazio.
- [Iguazio named in Forrester's Now Tech: AI/ML Platforms, Q1 2022](https://www.iguazio.com/news-events/news/iguazio-named-in-forresters-now-tech-ai-ml-platforms-q1-2022/): Iguazio named in Forrester's Now Tech: AI/ML Platforms, Q1 2022 . Stay ahead with Iguazio.
- [Iguazio Named a Fast-Moving Leader by Gigaom in the Radar for MLOps Report](https://www.iguazio.com/news-events/news/iguazio-named-a-fast-moving-leader-by-gigaom-in-the-radar-for-mlops-report-2/): Iguazio Named a Fast-Moving Leader by Gigaom in the Radar for MLOps Report . Stay ahead with Iguazio.
- [All That Hype: Iguazio Listed in 5 Gartner Hype Cycles for 2021](https://www.iguazio.com/news-events/news/all-that-hype-iguazio-listed-in-5-gartner-hype-cycles-for-2021/): All That Hype: Iguazio Listed in 5 Gartner Hype Cycles for 2021 . Stay ahead with Iguazio.
- [Iguazio Partners with Pure Storage to Operationalize AI for Enterprises](https://www.iguazio.com/news-events/news/iguazio-announces-mlops-for-good-virtual-hackathon-2/): Iguazio Partners with Pure Storage to Operationalize AI for Enterprises . Stay ahead with Iguazio.
- [Iguazio MLOps Platform Launches in AWS Marketplace](https://www.iguazio.com/news-events/news/iguazio-mlops-platform-launches-in-aws-marketplace/): Iguazio MLOps Platform Launches in AWS Marketplace . Stay ahead with Iguazio.
- [MLOps: The Latest Shift in the AI Market in Israel](https://www.iguazio.com/news-events/news/mlops-the-latest-shift-in-the-ai-market-in-israel/): MLOps: The Latest Shift in the AI Market in Israel . Stay ahead with Iguazio.
- [Iguazio Announces ‘MLOps for Good’ Virtual Hackathon](https://www.iguazio.com/news-events/news/iguazio-announces-mlops-for-good-virtual-hackathon/): Iguazio Announces ‘MLOps for Good’ Virtual Hackathon . Stay ahead with Iguazio.
- [Boston Limited and Iguazio Partner to Operationalize AI for the Enterprise](https://www.iguazio.com/news-events/news/boston-limited-and-iguazio-partner-to-operationalize-ai-for-the-enterprise/): Boston Limited and Iguazio Partner to Operationalize AI for the Enterprise . Stay ahead with Iguazio.
- [Iguazio Named A Fast Moving Leader by GigaOm in the ‘Radar for MLOps’ Report](https://www.iguazio.com/news-events/news/iguazio-named-a-fast-moving-leader-by-gigaom-in-the-radar-for-mlops-report/): Iguazio Named A Fast Moving Leader by GigaOm in the ‘Radar for MLOps’ Report . Stay ahead with Iguazio.
- [The Coolest Data Science And Machine Learning Tool Companies Of The 2021 Big Data 100](https://www.iguazio.com/news-events/news/the-coolest-data-science-and-machine-learning-tool-companies-of-the-2021-big-data-100/): The Coolest Data Science And Machine Learning Tool Companies Of The 2021 Big Data 100 . Stay ahead with Iguazio.
- [Iguazio Named Leader and Fast Mover in GigaOm Radar for Evaluating Machine Learning Operations (MLOps)](https://www.iguazio.com/news-events/news/gigaom-radar-for-evaluating-machine-learning-operations-mlops/): Iguazio Named Leader and Fast Mover in GigaOm Radar for Evaluating Machine Learning Operations (MLOps) . Stay ahead with Iguazio.
- [The Next-Level of Operationalizing Machine Learning: Real-time Data Streaming into Data Science Environments](https://www.iguazio.com/news-events/news/the-next-level-of-operationalizing-machine-learning-real-time-data-streaming-into-data-science-environments/): The Next-Level of Operationalizing Machine Learning: Real-time Data Streaming into Data Science Environments . Stay ahead with Iguazio.
- [Iguazio Receives an Honorable Mention in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms](https://www.iguazio.com/news-events/news/iguazio-receives-an-honorable-mention-in-the-2021-magic-quadrant-for-data-science-and-machine-learning-platforms/): Iguazio Receives an Honorable Mention in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms . Stay ahead with Iguazio.
- [The AI Infrastructure Alliance Launches With 25 Members to Create the Canonical Stack for Artificial Intelligence Projects](https://www.iguazio.com/news-events/news/the-ai-infrastructure-alliance-launches-with-25-members-to-create-the-canonical-stack-for-artificial-intelligence-projects/): The AI Infrastructure Alliance Launches With 25 Members to Create the Canonical Stack for Artificial Intelligence Projects . Stay ahead with Iguazio.
- [Git-based CI/CD for Machine Learning and MLOps](https://www.iguazio.com/news-events/news/git-based-ci-cd-for-machine-learning-and-mlops/): Git-based CI/CD for Machine Learning and MLOps . Stay ahead with Iguazio.
- [Iguazio Signs Strategic Agreement with Sheba Medical Center for Real-Time Covid-19 Treatment](https://www.iguazio.com/news-events/news/iguazio-signs-strategic-agreement-with-sheba-medical-center-for-real-time-covid-19-treatment/): Iguazio Signs Strategic Agreement with Sheba Medical Center for Real-Time Covid-19 Treatment . Stay ahead with Iguazio.
- [Sheba, Iguazio to Develop Real-Time AI to Optimise Patient Care](https://www.iguazio.com/news-events/news/sheba-iguazio-to-develop-real-time-ai-to-optimise-patient-care/): Sheba, Iguazio to Develop Real-Time AI to Optimise Patient Care . Stay ahead with Iguazio.
- [Iguazio Launches the First Integrated Feature Store Within its Data Science Platform](https://www.iguazio.com/news-events/news/iguazio-launches-the-first-integrated-feature-store-within-its-data-science-platform/): Iguazio Launches the First Integrated Feature Store Within its Data Science Platform . Stay ahead with Iguazio.
- [The 12 Coolest Machine-Learning Startups Of 2020](https://www.iguazio.com/news-events/news/the-12-coolest-machine-learning-startups-of-2020/): The 12 Coolest Machine-Learning Startups Of 2020 . Stay ahead with Iguazio.
- [An AI Engineer Walks Into A Data Shop...](https://www.iguazio.com/news-events/news/an-ai-engineer-walks-into-a-data-shop/): An AI Engineer Walks Into A Data Shop... . Stay ahead with Iguazio.
- [Why You Need to Start Thinking About MLOps](https://www.iguazio.com/news-events/news/why-you-need-to-start-thinking-about-mlops/): Why You Need to Start Thinking About MLOps . Stay ahead with Iguazio.
- [SFL Scientific And Iguazio Partner To Speed Up Custom AI Development For Fortune 1000 Companies](https://www.iguazio.com/news-events/news/sfl-scientific-and-iguazio-partner-to-speed-up-custom-ai-development-for-fortune-1000-companies/): SFL Scientific And Iguazio Partner To Speed Up Custom AI Development For Fortune 1000 Companies . Stay ahead with Iguazio.
- [SFL Scientific and Iguazio Partner to Speed Up Custom AI Development for Fortune 1000 companies](https://www.iguazio.com/news-events/news/sfl-scientific-and-iguazio-partner-to-speed-up-custom-ai-development-for-fortune-1000-companies-2/): SFL Scientific and Iguazio Partner to Speed Up Custom AI Development for Fortune 1000 companies . Stay ahead with Iguazio.
- [NetApp Deploys Iguazio to Run AI-Driven Digital Advisor on Active IQ](https://www.iguazio.com/news-events/news/netapp-deploys-iguazio-to-run-ai-driven-digital-advisor-on-active-iq/): NetApp Deploys Iguazio to Run AI-Driven Digital Advisor on Active IQ . Stay ahead with Iguazio.
- [Iguazio Becomes Certified for NVIDIA DGX-Ready Software Program](https://www.iguazio.com/news-events/news/iguazio-becomes-certified-for-nvidia-dgx-ready-software-program/): Iguazio Becomes Certified for NVIDIA DGX-Ready Software Program . Stay ahead with Iguazio.
- [Iguazio & NetApp Partner to Accelerate Deployment of AI](https://www.iguazio.com/news-events/news/iguazio-netapp-partner-to-accelerate-deployment-of-ai/): Iguazio & NetApp Partner to Accelerate Deployment of AI . Stay ahead with Iguazio.
- [NetApp, Iguazio Build Joint Tech To Accelerate AI Deployments](https://www.iguazio.com/news-events/news/netapp-iguazio-build-joint-tech-to-accelerate-ai-deployments/): NetApp, Iguazio Build Joint Tech To Accelerate AI Deployments . Stay ahead with Iguazio.
- [The Coolest Data Science And Machine Learning Tool Companies Of The 2020 Big Data 100](https://www.iguazio.com/news-events/news/the-coolest-data-science-and-machine-learning-tool-companies-of-the-2020-big-data-100/): The Coolest Data Science And Machine Learning Tool Companies Of The 2020 Big Data 100 . Stay ahead with Iguazio.
- [Enabling end-to-end machine learning workflows with Iguazio](https://www.iguazio.com/news-events/news/enabling-end-to-end-machine-learning-workflows-with-iguazio-2/): Streamline machine learning processes using Iguazio's comprehensive end-to-end workflow solutions for seamless efficiency and innovation.
- [Iguazio Receives an Honorable Mention in the Gartner MQ for Data Science and ML Platforms](https://www.iguazio.com/news-events/news/gartner-gives-iguazio-an-honorable-mention-in-its-2020-magic-quadrant-for-data-science-and-machine-learning-platforms/): Iguazio Receives an Honorable Mention in the Gartner MQ for Data Science and ML Platforms. Read more here.
- [Iguazio raises $24 million for AI development and management](https://www.iguazio.com/news-events/news/iguazio-raises-24-million-for-ai-development-and-management-tools/): Iguazio raises $24 million for AI development and management . Stay ahead with Iguazio.
- [Dell Technologies Introduces New Solutions with Iguazio](https://www.iguazio.com/news-events/news/dell-technologies-introduces-new-solutions-to-advance-high-performance-computing-and-ai-innovation/): Dell Technologies Introduces New Solutions with Iguazio . Stay ahead with Iguazio.
- [PICSIX Partners with Iguazio](https://www.iguazio.com/news-events/news/picsix-launches-an-investigative-intelligence-platform-powered-by-iguazios-real-time-data-science-platform/): PICSIX Partners with Iguazio . Stay ahead with Iguazio.
- [The Rise of MLOps: What We Can All Learn from DevOps](https://www.iguazio.com/news-events/news/the-rise-of-mlops-what-we-can-all-learn-from-devops/): The Rise of MLOps: What We Can All Learn from DevOps . Stay ahead with Iguazio.
- [Bringing AI and Machine Learning to the Masses](https://www.iguazio.com/news-events/news/bringing-ai-and-machine-learning-to-the-masses/): Bringing AI and Machine Learning to the Masses . Stay ahead with Iguazio.
- [Takeaway from MLOps NYC: Open Source Frameworks Need TLC](https://www.iguazio.com/news-events/news/takeaway-from-mlops-nyc-open-source-frameworks-need-tlc/): Takeaway from MLOps NYC: Open Source Frameworks Need TLC . Stay ahead with Iguazio.
- [Top 10 IoT Startups Of 2019](https://www.iguazio.com/news-events/news/top-10-iot-startups-of-2019/): Top 10 IoT Startups Of 2019 . Stay ahead with Iguazio.
- [Hitting the Reset Button on Hadoop](https://www.iguazio.com/news-events/news/hitting-the-reset-button-on-hadoop/): Hitting the Reset Button on Hadoop . Stay ahead with Iguazio.
- [CEO Q&A: Modern Platforms for Data Science](https://www.iguazio.com/news-events/news/ceo-qa-modern-platforms-for-data-science/): CEO Q&A: Modern Platforms for Data Science . Stay ahead with Iguazio.
- [Iguazio Brings Its Data Science Platform to Azure and Azure Stack](https://www.iguazio.com/news-events/news/iguazio-brings-its-data-science-platform-to-azure-and-azure-stack/): Iguazio Brings Its Data Science Platform to Azure and Azure Stack . Stay ahead with Iguazio.
- [Samsung SDS Backs Data Company Iguazio](https://www.iguazio.com/news-events/news/samsung-sds-backs-data-company-iguazio/): Samsung SDS Backs Data Company Iguazio . Stay ahead with Iguazio.
- [Q&A with Iguazio: on Data Science, Data Analytics, and Serverless](https://www.iguazio.com/news-events/news/qa-with-iguazio-on-data-science-data-analytics-and-serverless/): Q&A with Iguazio: on Data Science, Data Analytics, and Serverless . Stay ahead with Iguazio.
- [How Serverless Platforms Could Power an Event-Driven AI Pipeline](https://www.iguazio.com/news-events/news/how-serverless-platforms-could-power-an-event-driven-ai-pipeline/): How Serverless Platforms Could Power an Event-Driven AI Pipeline . Stay ahead with Iguazio.
- [Removing Data Blockage at the Edge](https://www.iguazio.com/news-events/news/removing-data-blockage-at-the-edge/): Removing Data Blockage at the Edge . Stay ahead with Iguazio.
- [The 10 Coolest New Open-Source Technologies And Tools Of 2018](https://www.iguazio.com/news-events/news/the-10-coolest-new-open-source-technologies-and-tools-of-2018/): The 10 Coolest New Open-Source Technologies And Tools Of 2018 . Stay ahead with Iguazio.
- [Google Cloud collaborating with Iguazio to enable real-time AI across the cloud and intelligent edge](https://www.iguazio.com/news-events/news/google-cloud-collaborating-with-iguazio-to-enable-real-time-ai-across-the-cloud-and-intelligent-edge/): Google Cloud collaborating with Iguazio to enable real-time AI across the cloud and intelligent edge . Stay ahead with Iguazio.
- [Don’t get cloudwashed: The case for cloud on-prem in hybrid computing](https://www.iguazio.com/news-events/news/dont-get-cloudwashed-the-case-for-cloud-on-prem-in-hybrid-computing/): Don’t get cloudwashed: The case for cloud on-prem in hybrid computing . Stay ahead with Iguazio.
- [Even in the cloud, banking is tied to legacy tech](https://www.iguazio.com/news-events/news/even-in-the-cloud-banking-is-tied-to-legacy-tech/): Even in the cloud, banking is tied to legacy tech . Stay ahead with Iguazio.
- [Other Vendors to Consider for Operational DBMSs](https://www.iguazio.com/news-events/news/other-vendors-to-consider-for-operational-dbmss/): Other Vendors to Consider for Operational DBMSs . Stay ahead with Iguazio.
- [Iguazio’s New Nuclio Release Enables Serverless Agility for Enterprises Deploying Real-time Intelligent Applications](https://www.iguazio.com/news-events/news/iguazios-new-nuclio-release-enables-serverless-agility-for-enterprises-deploying-real-time-intelligent-applications/): Iguazio’s New Nuclio Release Enables Serverless Agility for Enterprises Deploying Real-time Intelligent Applications . Stay ahead with Iguazio.
- [SD Times Blog: Getting a serverless reality check](https://www.iguazio.com/news-events/news/sd-times-blog-getting-a-serverless-reality-check/): SD Times Blog: Getting a serverless reality check . Stay ahead with Iguazio.
- [Iguazio revamps its Nuclio serverless computing platform](https://www.iguazio.com/news-events/news/iguazio-revamps-its-nuclio-serverless-computing-platform/): Iguazio revamps its Nuclio serverless computing platform . Stay ahead with Iguazio.
- [SD Times news digest: Iguazio’s Nuclio release, Kotlin 1.3, and reCAPTCHA v3](https://www.iguazio.com/news-events/news/sd-times-news-digest-iguazios-nuclio-release-kotlin-1-3-and-recaptcha-v3/): SD Times news digest: Iguazio’s Nuclio release, Kotlin 1.3, and reCAPTCHA v3 . Stay ahead with Iguazio.
- [Iguazio Selected for CNBC's Upstart 100 List of Promising Startups](https://www.iguazio.com/news-events/news/iguazio-selected-for-cnbcs-upstart-100-list-of-promising-startups/): Iguazio Selected for CNBC's Upstart 100 List of Promising Startups . Stay ahead with Iguazio.
- [Instead of sending data to the cloud, why not send the cloud to the edge?](https://www.iguazio.com/news-events/news/instead-of-sending-data-to-the-cloud-why-not-send-the-cloud-to-the-edge/): Instead of sending data to the cloud, why not send the cloud to the edge? . Stay ahead with Iguazio.
- [Is cloud native starting to kill Hadoop? This CTO says yes](https://www.iguazio.com/news-events/news/is-cloud-native-starting-to-kill-hadoop-this-cto-says-yes/): Is cloud native starting to kill Hadoop? This CTO says yes . Stay ahead with Iguazio.
- [This startup thinks it knows how to speed up real-time analytics on tons of data](https://www.iguazio.com/news-events/news/this-startup-thinks-it-knows-how-to-speed-up-real-time-analytics-on-tons-of-data/): This startup thinks it knows how to speed up real-time analytics on tons of data . Stay ahead with Iguazio.
- [Equinix and Iguazio partner to drive smart mobility](https://www.iguazio.com/news-events/news/equinix-and-iguazio-partner-to-drive-smart-mobility/): Equinix and Iguazio partner to drive smart mobility . Stay ahead with Iguazio.
- [Enabling smart transportation in today's interconnected world](https://www.iguazio.com/news-events/news/enabling-smart-transportation-in-todays-interconnected-world/): Enabling smart transportation in today's interconnected world . Stay ahead with Iguazio.
- [Iguazio’s Nuclio Serverless Software Aims to Outrun AWS](https://www.iguazio.com/news-events/news/iguazios-nuclio-serverless-software-aims-to-outrun-aws/): Iguazio’s Nuclio Serverless Software Aims to Outrun AWS . Stay ahead with Iguazio.
- [The Car's Eyes and Ears at TC TLV 2018](https://www.iguazio.com/news-events/news/the-cars-eyes-and-ears-at-tc-tlv-2018/): The Car's Eyes and Ears at TC TLV 2018 . Stay ahead with Iguazio.
- [Enterprise startups in Israel worth getting to know](https://www.iguazio.com/news-events/news/enterprise-startups-in-israel-worth-getting-to-know/): Enterprise startups in Israel worth getting to know . Stay ahead with Iguazio.
- [Bigger than Linux: The rise of cloud native](https://www.iguazio.com/news-events/news/bigger-than-linux-the-rise-of-cloud-native/): Bigger than Linux: The rise of cloud native . Stay ahead with Iguazio.
- [2018 Big Data 100: 45 Coolest Data Management And Integration Vendors](https://www.iguazio.com/news-events/news/2018-big-data-100-45-coolest-data-management-and-integration-vendors/): 2018 Big Data 100: 45 Coolest Data Management And Integration Vendors . Stay ahead with Iguazio.
- [Serverless computing takes a big step into the multicloud world](https://www.iguazio.com/news-events/news/serverless-computing-takes-a-big-step-into-the-multicloud-world/): Serverless computing takes a big step into the multicloud world . Stay ahead with Iguazio.
- [Serverless framework Nuclio released for enterprise customers](https://www.iguazio.com/news-events/news/serverless-framework-nuclio-released-for-enterprise-customers/): Serverless framework Nuclio released for enterprise customers . Stay ahead with Iguazio.
- [This Israeli Startup Partners With Amazon -- But Could Compete With AWS In $8B Edge Cloud Market](https://www.iguazio.com/news-events/news/this-israeli-startup-partners-with-amazon-but-could-compete-with-aws-in-8b-edge-cloud-market/): This Israeli Startup Partners With Amazon -- But Could Compete With AWS In $8B Edge Cloud Market . Stay ahead with Iguazio.
- [Can Open-Source Serverless Be Simpler than AWS Lambda?](https://www.iguazio.com/news-events/news/can-open-source-serverless-be-simpler-than-aws-lambda/): Can Open-Source Serverless Be Simpler than AWS Lambda? . Stay ahead with Iguazio.
- [Asaf Somekh, Founder & CEO at iguazio, talks delivering dreams](https://www.iguazio.com/news-events/news/asaf-somekh-founder-ceo-at-iguazio-talks-delivering-dreams/): Asaf Somekh, Founder & CEO at iguazio, talks delivering dreams . Stay ahead with Iguazio.
- [To reach its full promise, big data must begin with a clean slate](https://www.iguazio.com/news-events/news/to-reach-its-full-promise-big-data-must-begin-with-a-clean-slate/): To reach its full promise, big data must begin with a clean slate . Stay ahead with Iguazio.
- [Big Data Startup iguazio Debuts Its First Channel Program, Seeks VARs and SIs with Vertical Industry Expertise](https://www.iguazio.com/news-events/news/big-data-startup-iguazio-debuts-its-first-channel-program-seeks-vars-and-sis-with-vertical-industry-expertise/): Big Data Startup iguazio Debuts Its First Channel Program, Seeks VARs and SIs with Vertical Industry Expertise . Stay ahead with Iguazio.

---


## Events

- [MLOps Live #39 - Orchestrating Multi-Agent Workflows with MCP & A2A: The Future of Scalable AI Systems](https://www.iguazio.com/events/mlops-live-39/): Join Iguazio CTO and Google Cloud expert as they explore cutting-edge tools enabling scalable AI workflows.
- [MLOps Live #37 Building Agent Co-pilots for Proactive Call Centers](https://www.iguazio.com/events/mlops-live-37-building-agent-co-pilots-for-proactive-call-centers/)
- [MLOps Live #36 How to Manage Thousands of Real-Time Models in Production](https://www.iguazio.com/events/mlops-live-36-how-to-manage-thousands-of-real-time-models-in-production/)
- [MWC 2025](https://www.iguazio.com/events/mwc-2025/): Our AI and gen AI experts will be on the ground at MWC 2025 and we'd love to meet you...
- [MLOps Live #38 - LLM Evaluation and Testing for Reliable AI Apps](https://www.iguazio.com/events/mlops-live-35-beyond-the-hype-gen-ai-trends-and-scaling-strategies-for-2025/)
- [MLOps Live #34 - Agentic AI Frameworks: Bridging Foundation Models and Business Impact](https://www.iguazio.com/events/mlops-live-34-agentic-ai-frameworks-bridging-foundation-models-and-business-impact/): Discover how conversational AI transforms customer experiences - watch to learn practical tips for building impactful AI agents.
- [MLOps Live #33 - Deploying Gen AI in Production with NVIDIA NIM & MLRun](https://www.iguazio.com/events/mlops-live-33-deploying-gen-ai-in-production-with-nvidia-nim-mlrun/): In this webinar, we explored how to successfully deploy your Gen AI applications while mitigating these challenges, using NVIDIA NIM...
- [MLOps Live #32 - Gen AI for Marketing - From Hype to Implementation](https://www.iguazio.com/events/mlops-live-32-gen-ai-for-marketing-from-hype-to-implementation/): In this session we were joined by a Modern Marketing Capabilities Leader at McKinsey, to delve into how data scientists...
- [MLOps Live #31 - Building Scalable Customer-Facing Gen AI Applications Effectively & Responsibly](https://www.iguazio.com/events/mlops-live-31/): In this session, we shared the Iguazio & MongoDB one-stop-shop solution for building gen AI applications that scale effectively and...
- [MLOPs Live #30 - Implementing Gen AI in Highly Regulated Environments](https://www.iguazio.com/events/mlops-live-30-implementing-gen-ai-in-highly-regulated-environmentsmlops-live-30/): Our CEO & CTO discussed implementing gen AI in highly regulated industries and innovative ways to mitigate them. We shared...
- [MLOps Live #29 - Transforming Enterprise Operations with Gen AI](https://www.iguazio.com/events/mlops-live-29-transforming-enterprise-operations-with-gen-ai/): In our webinar with McKinsey, we dove into the transformative impact of gen AI on enterprise operations, spotlighting advancements across...
- [MLOps Live #28 - Improving LLM Accuracy & Performance](https://www.iguazio.com/events/mlops-live-28-improving-llm-accuracy-performance/): Watch our session with Databricks to hear advice on improving the accuracy & performance of LLMs while mitigating challenges like...
- [MLOps Live #27 -  LLM Validation & Evaluation](https://www.iguazio.com/events/mlops-live-27/): In this webinar we demonstrated how to effectively validate and evaluate your LLM, and dove into the pipeline to show...
- [MLOps Live #26 - Implementing a Gen AI Smart Call Center Analysis App](https://www.iguazio.com/events/mlops-live-26-implementing-a-gen-ai-smart-call-center-analysis-app/): In this session, Oana Cheta Partner & Lead Gen AI Service Ops NA at McKinsey & Company joined Yaron Haviv...
- [MLOps Live #25 - GenAI for Financial Services](https://www.iguazio.com/events/mlops-live-25-genai-for-financial-servicesmlops-live-25/): In this session we discussed how leading global Financial Service companies are using GenAI today to serve their clients better,...
- [MLOps Live #24 - How to Build an Automated AI ChatBot](https://www.iguazio.com/events/mlops-live-23-mlops-for-generative-ai/): In this session, Gennaro, Director of Data Science at Sense, share how he and his team have built and perfected...
- [ODSC West 2023](https://www.iguazio.com/events/odsc-west-2023/): Watch Yaron Haviv, our Co-Founder and CTO, present the MLOps Keynote at ODSC West 2023.
- [AI at Scale](https://www.iguazio.com/events/ai-at-scale/): We are excited to be speaking at AIIA's upcoming event! Join us as we dive deep into scaling AI, including...
- [NVIDIA GTC](https://www.iguazio.com/events/nvidia-gtc-2/): We are excited to be participating in NVIDIA GTC 2023. Yaron Haviv, Iguazio's Co-Founder and CTO, will be presenting as...
- [Future of AI 2022](https://www.iguazio.com/events/future-of-ai-2022/): We are excited to be sponsoring the Future of AI Conference 2022. Future of AI brings together the leading Israeli...
- [MLOps Live #22 How Seagate Handles Data Engineering at Scale](https://www.iguazio.com/events/mlops-live-21-hcis-journey-to-mlops-efficiency/): Join Vamsi and Yaron for a fascinating deep dive into Seagate's journey to MLOps efficiency. Hear Seagate’s story, watch a...
- [MLOps Live #20: How to Easily Deploy Your Hugging Face Model to Production at Scale](https://www.iguazio.com/events/mlops-live-20-how-to-easily-deploy-your-hugging-face-model-to-production-at-scale/): Join us for this technical session with Hugging Face, and learn from the experts!
- [AIIA: Data-Centric AI Summit](https://www.iguazio.com/events/aiia-data-centric-ai-summit/): In our session, we will demonstrate how to use Iguazio & Snowflake to create a simple, seamless, and automated path...
- [TMLS MLOps World: Conference on Machine Learning in Production 2022](https://www.iguazio.com/events/tmls-mlops-world-conference-on-machine-learning-in-production-2022/): We are proud to be Gold Sponsors of the 3rd annual MLOps World Summit Conference and Expo. MLOps World is...
- [Snowflake Summit](https://www.iguazio.com/events/snowflake-summit/): We are proud to be sponsoring the 2022 Snowflake Summit. The summit gathers top technical, data, and business experts to...
- [ODSC Europe](https://www.iguazio.com/events/odsc-europe-london/): ODSC Europe combines immersive in-person sessions and hands-on training with innovative virtual ones. We hope to see you there!
- [MLOps: Machine Learning in Production / New York City Summit](https://www.iguazio.com/events/mlops-machine-learning-in-production-new-york-city-summit/): We are excited to be a featured speaker for NYC's virtual ML in Production conference. This event gathers industry leaders...
- [ODSC East](https://www.iguazio.com/events/odsc-east-boston/): We are proud sponsors of the ODSC East Conference, and the keynote speaker of the Data Engineering and MLOps track.
- [Understanding Fraud Prediction for Banking & Finance Sector through Iguazio & Royal Cyber](https://www.iguazio.com/events/webinar-understanding-fraud-prediction-for-banking-finance-sector-through-iguazio-royal-cyber/): The webinar will focus on how banking and financial institutions can use cutting-edge machine learning and AI tools and technologies...
- [MDLI Ops Conference 2023](https://www.iguazio.com/events/mdli-ops-conference-2022/): We are proud to be speaking and sponsoring MDLI Ops 2023. This yearly conference brings together experts in the field...
- [ODSC Webinar: Git Based CI/CD for ML](https://www.iguazio.com/events/git-based-ci-cd-for-ml-a-complimentary-odsc-webinar/): In this live webinar we examine naive ML workflows and explore why they break down, showcase system design principles that...
- [Session #17: Scaling NLP Pipelines at IHS Markit](https://www.iguazio.com/events/session-17-scaling-nlp-pipelines-at-ihs-markit/): MLOps LIVE is back and better than ever! The data science team at IHS Markit will be sharing practical advice...
- [GTC](https://www.iguazio.com/events/gtc/): We are excited to be participating in GTC 2021. Join us as we accompany our partners on a panel: Mastering...
- [NetApp Insight 2021](https://www.iguazio.com/events/netapp-insight-201/): Pop by our booth to say hi!
- [ODSC West](https://www.iguazio.com/events/odsc-west/): We are excited to be returning to ODSC! Mark your calendars for the joint Track Keynote with IHS Markit: "MLOps...
- [Iguazio MLOps Platform Launches in AWS Marketplace](https://www.iguazio.com/events/iguazio-mlops-platform-launches-in-aws-marketplace/): Iguazio announced its availability in the AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors...
- [Kubecon North America 2021](https://www.iguazio.com/events/kubecon-north-america-2021/): Stay tuned for more information.
- [MLOps: Machine Learning in Production New York City](https://www.iguazio.com/events/mlops-machine-learning-in-production-new-york-city/): We are proud to be sponsoring this years MLOps NYC Conference dedicated to propogating clearer understanding of best practices, methodologies,...
- ["Building a Real-Time ML Pipeline with a Feature Store" - MLOps Live Webinar #16](https://www.iguazio.com/events/mlops-live-webinar-series-session-16/): Save your spot for our upcoming MLOps webinar and learn about challenges associated with online feature engineering, how feature stores...
- [#MLOpsforGood Award Ceremony](https://www.iguazio.com/events/mlopsforgood-award-ceremony/): After six excellent weeks of hands-on hacking, 300 participants, and over 30 awesome projects, we invite you to the live...
- [MLOps in Finance Summit](https://www.iguazio.com/events/mlops-in-finance-summit/): Catch us in the upcoming MLOps in Finance Summit! Yaron Haviv, Iguazio's CTO, will be presenting on how to build...
- [MLOps for Good Hackathon](https://www.iguazio.com/events/mlops-for-good-hackathon/): Join us for the first-ever MLRun hackathon, to help bring data science to production for social Good. Iguazio will be...
- [MLOps World: Machine Learning in Production Conference](https://www.iguazio.com/events/mlops-world-machine-learning-in-production-conference/): Join Iguazio at the 2nd Annual MLOps World Conference on Machine Learning in Production. We invite you to attend our...
- [ODSC EUROPE 2021](https://www.iguazio.com/events/odsc-europe/): ODSC Europe Virtual Conference 2021 is one of the largest applied data science conferences and Iguazio will be there! Attend...
- [Expert Panel: AI for Connected Vehicles](https://www.iguazio.com/events/expert-panel-ai-for-connected-vehicles/): In this panel, experts from NetApp, NVIDIA, Strategy Analytics and Iguazio will discuss the main use cases, and also examine...
- [Webinar: "Activate Data: Data Science Innovation with MongoDB & Iguazio"](https://www.iguazio.com/events/mlops-live-webinar-15-activate-data-data-science-innovation-with-mongodb-iguazio/): The MLOps Live Webinar Series is a complimentary webcast where you will learn how to manage and automate machine learning...
- [KubeCon NA](https://www.iguazio.com/events/kubecon-na/): The Cloud Native Computing Foundation’s flagship conference gathers adopters and technologists from leading open source and cloud native communities virtually.
- [Toronto Machine Learning Summit](https://www.iguazio.com/events/toronto-machine-learning-summit/): The Toronto Machine Learning Summit (TMLS) is a uniquely interactive experience with a community of over 9,000 active members that...
- [NetApp INSIGHT 2020](https://www.iguazio.com/events/netapp-insight-2020/): NetApp INSIGHT 2020 is a fully digital, totally immersive event which explores how NetApp can help customers unlock the best...
- [Data Science Salon | Applying AI & ML to Healthcare, Finance & Technology](https://www.iguazio.com/events/data-science-salon-media-advertising-entertainment/): The data science salon is a unique vertical focused conference which grew into a diverse community of senior data science,...
- [MLOps Series Library](https://www.iguazio.com/events/mlops-in-flip-flops/): Access all past MLOps Live webinars to learn all about MLOps from industry experts and thought leaders.
- [MLOps Live Webinar #15: 'Automated Model Management for CPG Trade Effectiveness with Tredence'](https://www.iguazio.com/events/mlops-live/): The MLOps Live Webinar Series is a complimentary webcast where you will learn how to manage and automate machine learning...
- [MLOps NYC](https://www.iguazio.com/events/mlops-nyc/): MLOps NYC 2019 gathered industry leaders from companies like Netflix, Google, Twitter and Uber to share their biggest MLOps challenges...
- [KubeCon Europe](https://www.iguazio.com/events/london-in-february/): The Cloud Native Computing Foundation’s virtual conference will gather adopters and technologists from leading open source and cloud-native communities.
- [NVIDIA GTC: Deep Learning & AI Conference](https://www.iguazio.com/events/nvidia-gtc/): NVIDIA's GPU Technology Conference (GTC) is the must attend digital event for developers, researchers, engineers, and innovators looking to enhance...

---


## PRs

- [McKinsey & Company Acquires Iguazio to Accelerate & Scale Enterprise AI](https://www.iguazio.com/news-events/pr/mckinsey-company-acquires-iguazio-to-accelerate-scale-enterprise-ai/): Acquisition will enable AI's full power and potential to be realized across commercial, social, and environmental initiatives.
- [Sense Selects Iguazio for AI Chatbot Automation with AWS, Snowflake and NVIDIA](https://www.iguazio.com/news-events/pr/sense-selects-iguazio-for-ai-chatbot-automationwith-aws-snowflake-and-nvidia/): Sense will use the Iguazio MLOps platform for a large range of AI products, beginning with the Sense AI Chatbot.
- [Iguazio Partners with Snowflake to Automate and Accelerate MLOps](https://www.iguazio.com/news-events/pr/iguazio-partners-with-snowflake-to-automate-and-accelerate-mlops/): Read more about Iguazio Partners with Snowflake to Automate and Accelerate MLOps
- [LATAM Airlines Chooses Iguazio to Operationalize Machine Learning](https://www.iguazio.com/news-events/pr/latam-airlines-group-selects-iguazio-to-operationalize-machine-learning-as-part-of-its-post-pandemic-innovation-strategy/): Read more about LATAM Airlines Chooses Iguazio to Operationalize Machine Learning
- [Iguazio Partners with Pure Storage to Operationalize AI Production-First](https://www.iguazio.com/news-events/pr/pure-storage-and-iguazio-form-strategic-partnership-to-operationalize-ai-for-enterprises-taking-a-production-first-approach/): Read more about Iguazio Partners with Pure Storage to Operationalize AI Production-First
- [Iguazio MLOps Platform Now Supports Amazon FSx for NetApp ONTAP](https://www.iguazio.com/news-events/pr/iguazio-mlops-platform-now-supports-amazon-fsx-for-netapp-ontap/): Read more about Iguazio MLOps Platform Now Supports Amazon FSx for NetApp ONTAP
- [Iguazio MLOps Platform Launches in AWS Marketplace](https://www.iguazio.com/news-events/pr/iguazio-mlops-platform-launches-in-aws-marketplace/): Read more about Iguazio MLOps Platform Launches in AWS Marketplace
- [Boston Limited and Iguazio Partner to Operationalize AI for the Enterprise](https://www.iguazio.com/news-events/pr/boston-limited-and-iguazio-partner-to-operationalize-ai-for-the-enterprise/): Enabling both companies to extend their offerings to enterprises across industries looking to bring data science into real life applications.
- [Iguazio Announces First-Ever ‘MLOps for Good’ Virtual Hackathon](https://www.iguazio.com/news-events/pr/iguazio-announces-first-ever-mlops-for-good-virtual-hackathon/): With the mission to foster projects that can immediately impact real-world issues, Iguazio, partners Microsoft, MongoDB, and sponsor Aztek seek.
- [Iguazio Launches Integrated Feature Store to Accelerate AI Deployment](https://www.iguazio.com/news-events/pr/iguazio-launches-the-first-integrated-feature-store-within-its-data-science-platform-to-accelerate-deployment-of-ai-in-any-cloud-environment/): The first production-ready integrated solution for enterprises to catalog, store and share features centrally, and use them to manage AI applications.
- [Sheba Medical Center Partners with Iguazio for Real-Time COVID-19 AI](https://www.iguazio.com/news-events/pr/sheba-medical-center-inks-strategic-agreement-with-iguazio-to-deliver-real-time-ai-for-covid-19-patient-treatment-optimization/): Read more about Sheba Medical Center Inks Strategic Agreement with Iguazio to Deliver Real-Time AI for COVID-19.
- [Iguazio Achieves AWS Outposts Ready Status to Accelerate AI in Hybrid](https://www.iguazio.com/news-events/pr/iguazio-achieves-aws-outposts-ready-designation-to-help-enterprises-accelerate-ai-deployment-in-hybrid-environments/): The new seamless integration of Iguazio’s technology with AWS outposts allows customers to build ML pipelines in weeks instead of months.
- [PadSquad Deploys the Iguazio Data Science Platform to Predict Ad Performance in Real-Time](https://www.iguazio.com/news-events/pr/padsquad-deploys-the-iguazio-data-science-platform-to-predict-ad-performance-in-real-time/): Discover how PadSquad utilizes the Iguazio Data Science Platform to predict ad performance in real-time, enhancing marketing strategies.
- [Faktion and Iguazio Bring Data Science to Production for Smart Mobility](https://www.iguazio.com/news-events/pr/faktion-iguazio-bring-data-science-to-production-smart-mobility-customers/): The partnership enables both companies to provide AI infrastructure and services to smart mobility companies looking to harness big data.
- [SFL Scientific and Iguazio Partner to Accelerate Custom AI Development](https://www.iguazio.com/news-events/pr/sfl-scientific-and-iguazio-partner-to-speed-up-custom-ai-development-for-fortune-1000-companies/): Read more about SFL Scientific and Iguazio Partner to Accelerate Custom AI Development
- [NetApp Deploys Iguazio to Run AI-Driven Digital Advisor on Active IQ](https://www.iguazio.com/news-events/pr/netapp-deploys-iguazio-to-run-ai-driven-digital-advisor-on-active-iq-2/): NetApp deploys the Iguazio platform to boost the infrastructure behind its Active IQ solution, responding in real-time to 10 trillion data points.
- [Iguazio Becomes Certified for NVIDIA DGX-Ready Software Program](https://www.iguazio.com/news-events/pr/iguazio-becomes-certified-for-nvidia-dgx-ready-software-program/): Iguazio achieves NVIDIA DGX-Ready certification, validating its software for high-performance AI applications.
- [Iguazio and NetApp Collaborate to Accelerate Deployment of AI Applications](https://www.iguazio.com/news-events/pr/iguazio-and-netapp-collaborate-to-accelerate-deployment-of-ai-applications/): Partnership that provides enterprises with a simple, end-to-end solution for developing, deploying and managing AI applications.
- [Iguazio Deployed by Payoneer to Prevent Fraud with Real-time Machine Learning](https://www.iguazio.com/news-events/pr/iguazio-deployed-by-payoneer-to-prevent-fraud-with-real-time-machine-learning/): Payoneer uses Iguazio to move from detection to prevention of fraud prevention with predictive machine learning models served in real-time.
- [Iguazio Raises $24M to Accelerate Growth of Its Data Science Platform](https://www.iguazio.com/news-events/pr/iguazio-raises-24m-to-accelerate-growth-and-global-penetration-of-its-data-science-platform/): Iguazio Raises $24M to Accelerate Growth and Global Penetration of its Data Science Platform enabling a wide range of industries.
- [PICSIX Launches Investigative Intelligence Platform Powered by Iguazio](https://www.iguazio.com/news-events/pr/picsix-iguazio/): PICSIX uses Iguazio to provide an AI-based platform addressing the ever-changing threats to homeland security and public safety
- [Iguazio Expands Serverless To Scale-out Machine Learning and Analytics Workloads](https://www.iguazio.com/news-events/pr/iguazio-expands-serverless/): New serverless capabilities in Iguazio’s Platform enable on-demand resource consumption, elastic scaling, and simpler ML pipelines
- [MLOps NYC19 Conference to Promote the Standardization of Machine Learning Operations](https://www.iguazio.com/news-events/pr/mlops-nyc19-conference-to-promote-the-standardization-of-machine-learning-operations/): MLOps NYC19 will reflect the current state of machine learning operations with accomplished industry leaders sharing insights and experiences.
- [Iguazio to Operationalize Data Science and AI on Azure and Azure Stack](https://www.iguazio.com/news-events/pr/iguazio-to-operationalize-data-science-and-ai-on-azure-and-azure-stack/): Enabling Leading Enterprises to Bring Machine Learning into Business Applications and Remove AI Project Complexity
- [Iguazio’s Platform Scales NVIDIA GPU-Accelerated Deployments](https://www.iguazio.com/news-events/pr/iguazio-platform-scales-nvidia-gpu-accelerated-deployments/): Samsung SDS Integrates Serverless and Big Data to Automate Machine Learning Application Scaling and Productization
- [Samsung SDS Invests in Iguazio to Boost Cloud Services](https://www.iguazio.com/news-events/pr/samsung-sds-invests-in-iguazio-to-boost-cloud-services/): Samsung Adopts Iguazio’s Nuclio Serverless PaaS for Real-time Intelligent Applications
- [Iguazio Powers the Intelligent Edge for Smart Retail and IoT Solutions with Google Cloud](https://www.iguazio.com/news-events/pr/google-iguazio-intelligent-edge-retail/): Collaborating with Trax on a Kubernetes-powered hybrid cloud for real-time supply chain and intelligent operations
- [Iguazio's Nuclio Update Enables Serverless Agility for Real-Time Apps](https://www.iguazio.com/news-events/pr/iguazio-new-nuclio-release-enables-serverless-agility-enterprise-deploying-real-time-intelligent-applications/): Leading open source serverless framework now includes capabilities that enable faster end-to-end enterprise and IoT deployments.
- [Iguazio Hosts Serverless NYC: Enterprise Deployments and Case Studies](https://www.iguazio.com/news-events/pr/iguazio-hosts-serverless-nyc/): Iguazio Hosts Serverless NYC to Go Beyond the Hype, Presenting Enterprise Deployments and Real-Life Case Studies - find more here.
- [Equinix and Iguazio Collaborate to Drive Smart Mobility Vision](https://www.iguazio.com/news-events/pr/equinix-iguazio-collaborate-drive-smart-mobility-vision/): Hybrid cloud solution enables leading Asian ride-hailing applications to deliver real time and event-driven insights
- [Iguazio's Real-Time Serverless Framework Now Available for Enterprises](https://www.iguazio.com/news-events/pr/real-time-serverless-available-for-enterprise/): Nuclio enterprise edition gains momentum with leading cloud providers, as well as in on prem deployments and at the edge
- [PickMe Deploys Iguazio’s Platform for Real-Time Heatmaps, Fraud Detection](https://www.iguazio.com/news-events/pr/pickme-selects-iguazio/): Sri Lanka’s highest performing mobility app uses iguazio to maintain its competitive edge and operational efficiency
- [iguazio Featured in CRN’s 2018 Partner Program Guide](https://www.iguazio.com/news-events/pr/crn-partner-program-guide/): Annual Guide Recognizes the IT Channel’s Top Partner Programs
- [iguazio Extends Global Reach with New Channel Partner Program](https://www.iguazio.com/news-events/pr/iguazio-extends-global-reach-with-new-channel-partner-program/): Continuous Data Platform Now Available to More Enterprises Through Systems Integrators, VARs, OEMs
- [Unified Data Platform Provider iguazio Opens APAC Headquarters in Singapore](https://www.iguazio.com/news-events/pr/unified-data-platform-provider-apac-hq/): Demand for iguazio’s Hybrid Cloud and Edge Solutions Drives Continued Global Expansion opening of its APAC regional headquarters in Singapore
- [iguazio Debuts the nuclio Serverless Platform for Multi-Cloud and Edge Deployments](https://www.iguazio.com/news-events/pr/iguazio-debuts-serverless-platform/): nuclio expands iguazio’s data platform to provide a complete cloud experience that allows faster, flexible deployment in the cloud.
- [iguazio Announces General Availability of Its Unified Data Platform](https://www.iguazio.com/news-events/pr/iguazio-announces-general-availability-unified-data-platform/): Early customer adoption includes Grab, the Largest Ride-Hailing Service in Southeast Asia
- [Grab, Southeast Asia’s #1 Ride-Hailing Service, Selects iguazio’s Unified Data Platform](https://www.iguazio.com/news-events/pr/grab-south-east-asias-1-ride-hailing-service-selects-iguazios-unified-data-platform/): Largest Ride-Hailing Service in Southeast Asia uses Iguazio to Ingest, Enrich and Analyze Data for Continuous Analytics and more.
- [Iguazio Raises $33M in Series B as Leader in Real-Time Analytics, Edge Data](https://www.iguazio.com/news-events/pr/iguazio-leader-real-time-analytics-edge-data-platforms-raises-33m-series-b-funds/): New round includes strategic investors from financial services, IoT and service providers following successful early deployments
- [iguazio Selected as a Gartner  Cool Vendor in Data Management, 2017](https://www.iguazio.com/news-events/pr/iguazio-selected-as-a-gartner-cool-vendor-in-data-management-2017/): Delivering continuous analytics and offering greater simplicity, performance, security and agility for next generation applications
- [iguazio Demos Industry’s First Integrated Real-time Continuous Analytics Solution](https://www.iguazio.com/news-events/pr/iguazio-demos-industrys-first-integrated-real-time-continuous-analytics-solution/): Complete re-thinking of the traditional data pipeline reduces time-to-insights from hours to seconds ream-time Continuous Analytics Solution
- [iguazio Announces the World’s Fastest, Simplest and Lowest-Cost Enterprise Data Cloud](https://www.iguazio.com/news-events/pr/iguazio-announces-the-worlds-fastest-simplest-and-lowest-cost-enterprise-data-cloud/): Delivers 100x faster performance, Simplest and 10x lower cost for on-premises and hybrid cloud deployments
- [Iguazio Unveils World’s First Virtualized Data Services Architecture](https://www.iguazio.com/news-events/pr/iguazio-unveils-worlds-first-virtualized-data-services-architecture/): Reveals Details of Extremely Efficient Architecture that Seamlessly Accelerates Spark and Hadoop, Busts Silos and Ends ETL
- [Iguaz.Io raises $15 million in series a funding to disrupt big data storage](https://www.iguazio.com/news-events/pr/iguaz-io-raises-15-million-in-series-a-funding-to-disrupt-big-data-storage/): Iguaz.io, a provider of innovative data management and storage solutions for Big Data, IoT and cloud applications announced funding round.

---


## Sessions

- [Agentic AI Frameworks: Bridging Foundation Models and Business Impact](https://www.iguazio.com/sessions/agentic-ai-frameworks-bridging-foundation-models-and-business-impact/): Explore how Agentic AI frameworks can enhance decision-making and operational efficiency across industries.
- [Deploying Gen AI in Production with NVIDIA NIM & MLRun](https://www.iguazio.com/sessions/deploying-gen-ai-in-production-with-nvidia-nim-mlrun/): Learn to deploy Gen AI applications efficiently using NVIDIA NIM and MLRun for streamlined AI orchestration.
- [Gen AI for Marketing - From Hype to Implementation](https://www.iguazio.com/sessions/gen-ai-for-marketing-from-hype-to-implementation/): Transform your marketing strategy with Gen AI insights and actionable steps for effective implementation and risk management.
- [Building Scalable Customer-Facing Gen AI Applications Effectively & Responsibly](https://www.iguazio.com/sessions/building-scalable-customer-facing-gen-ai-applications-effectively-responsibly/): Learn how to Building Scalable Customer-Facing Gen AI Applications Effectively & Responsibly in our session.
- [Implementing Gen AI in Highly Regulated Environments](https://www.iguazio.com/sessions/implementing-gen-ai-in-highly-regulated-environments/): Discover unique challenges and solutions for deploying Gen AI in regulated industries to ensure compliance and performance.
- [Transforming Enterprise Operations with Gen AI](https://www.iguazio.com/sessions/transforming-enterprise-operations-with-gen-ai/): Explore how Gen AI enhances operations, focusing on real-world applications across manufacturing and supply chains.
- [Improving LLM Accuracy & Performance](https://www.iguazio.com/sessions/improving-llm-accuracy-performance/): Uncover best practices for improving LLM accuracy and performance while managing risk and costs effectively
- [LLM Validation & Evaluation](https://www.iguazio.com/sessions/llm-validation-evaluation/): Learn from our experts how to validate and evaluate LLMs effectively with automation strategies for improved accuracy.
- [Implementing a Gen AI Smart Call Center Analysis App](https://www.iguazio.com/sessions/implementing-a-gen-ai-smart-call-center-analysis-app/): Learn how to build a Gen AI-driven smart call center analysis app tailored for effective customer engagement.
- [GenAI for Financial Services](https://www.iguazio.com/sessions/genai-for-financial-services/): Generative AI has sparked the imagination with the explosion of tools, highlighting the importance of LLMs as the basis for modern AI.
- [Sheba Medical Center Improves Patient Outcomes and Experiences with AI](https://www.iguazio.com/sessions/sheba-medical-center-healthcare-ai/): Sheba Medical Center is driving a digital transformation by unifying real-time and historic data from different sources and more.
- [How to Build an Automated AI ChatBot](https://www.iguazio.com/sessions/how-to-build-an-automated-ai-chatbot/): Gennaro describe how he and his team have built and perfected this chatbot, what their ML pipeline looks like behind the scenes.
- [Demo: LLM Call Center Analysis with MLRun](https://www.iguazio.com/sessions/demo-llm-call-center-analysis-with-mlrun/): We showcase how to use LLMs to turn audio files of conversations between customers and agents at a call center into valuable data.
- [MLOps for Gen AI in the Enterprise](https://www.iguazio.com/sessions/mlops-for-gen-ai-the-live-webinar-series/): We will explore the effective integration of GenAI into real-time business applications, along with associated challenges & solutions.
- [MLOps for Generative AI](https://www.iguazio.com/sessions/mlops-for-generative-ai/): The influx of new tools spark the imagination and highlight the importance of Generative AI and foundation models as the basis for modern AI applications.
- [MLOps for LLMs](https://www.iguazio.com/sessions/mlops-for-llms/): Unlocking Generative AI's potential. Learn MLOps strategies for deploying and optimizing Hugging Face models in real business environments efficiently.
- [How Seagate Runs Advanced Manufacturing at Scale](https://www.iguazio.com/sessions/how-seagate-runs-advanced-manufacturing-at-scale/): Like most enterprises, Seagate was facing numerous challenges around AI and MLOps, at their hard disk advanced manufacturing sites.
- [HCI’s Journey to MLOps Efficiency](https://www.iguazio.com/sessions/hcis-journey-to-mlops-efficiency/): This is just what the data science team at HCI is doing. In this session, Jiri will be sharing enterprise secrets to establishing efficient systems for ML/AI.
- [How to Easily Deploy Your Hugging Face Model to Production at Scale](https://www.iguazio.com/sessions/how-to-easily-deploy-your-hugging-face-model-to-production-at-scale/): Seems like almost everyone uses Hugging Face to simplify and reuse advanced models and work collectively as a community.
- [Breaking AI Bottlenecks with Iguazio + Amazon FSx for NetApp ONTAP](https://www.iguazio.com/sessions/fsx/): Learn how to overcome AI bottlenecks using Iguazio and Amazon FSx for faster data processing and enhanced analytics.
- [From AutoML to AutoMLOps: Automated Logging & Tracking of ML](https://www.iguazio.com/sessions/automl-to-automlops-automated-logging-and-tracking-of-ml/): In this session, Yaron and Guy outline the challenges, describe open-source tools available for Auto-MLOps, and finish off with a live demo.
- [Best Practices for Succeeding with MLOps](https://www.iguazio.com/sessions/best-practices-for-succeeding-with-mlops/): Discover effective MLOps strategies and best practices to streamline your machine learning operations and enhance collaboration.
- [Predicting 1st Day Churn with Real-Time AI](https://www.iguazio.com/sessions/predicting-1st-day-churn-with-real-time-ai/): his On-Demand MLOps Live Webinar goes beyond theory, with industry leaders sharing challenges and practical solutions.
- [LATAM Customer Testimonial](https://www.iguazio.com/sessions/latam-customer-testimonial/): Learn how Latam Airlines Group uses Iguazio across to improve pilot training and fraud detection, creating a safer and faster way to operate their models.
- [Git Based CI/CD for ML](https://www.iguazio.com/sessions/git-based-cicd-for-ml/): In this session, Yaron Haviv, discusses how to enable continuous delivery of machine learning to production using Git-based ML pipelines.
- [Scaling NLP Pipelines at S&P Global (IHS Markit)](https://www.iguazio.com/sessions/scaling-nlp-pipelines-at-ihs-markit/): The data science team at S&P Global (IHS Markit) share practical advice on building sophisticated NLP pipelines that work at scale.
- [Building a Real-Time ML Pipeline with a Feature Store](https://www.iguazio.com/sessions/building-a-real-time-ml-pipeline-with-a-feature-store/): Join us to explore real-time ML pipelines using a feature store, enhancing your machine learning workflows with efficiency.
- [Automated Model Management for CPG Trade Effectiveness](https://www.iguazio.com/sessions/automated-model-management-for-cpg-trade-effectiveness/): Leading consumer packaged goods companies excel at executing large-scale trade promotions, but struggle in running precisely the right promotion at scale.
- [Automating & Governing AI Over Production Data on Azure](https://www.iguazio.com/sessions/automating-governing-ai-over-production-data-on-azure/): Many enterprises today face numerous challenges around handling data for AI/ML. They find themselves having to manually extract datasets.
- [How Feature Stores Accelerate & Simplify Deployment of AI to Production](https://www.iguazio.com/sessions/how-feature-stores-accelerate-simplify-deployment-of-ai-to-production/): In this live session we will discuss how feature stores can be used to accelerate AI deployment, show a demo and present a customer use case.
- [Simplifying Deployment of ML in Federated Cloud and Edge Environments](https://www.iguazio.com/sessions/simplifying-deployment-of-ml-in-federated-cloud-and-edge-environments/): Unlock AI adoption: Hybrid solutions for data challenges, simplified cloud-edge deployment. Learn practical insights in ML edge apps, cloud-edge harmony.
- [Handling Large Datasets in Data Preparation & ML Training Using MLOps](https://www.iguazio.com/sessions/handling-large-datasets-in-data-preparation-ml-training-using-mlops/): Learn how to use Dask, Kubernetes, and MLRun to scale your data prep and ML training with ease.
- [Quadient Customer Testimonial](https://www.iguazio.com/sessions/quadient-customer-testimonial/): Experience Quadient's customer journey firsthand with a testimonial at Iguazio. Find inspiration for your business transformation.
- [NetApp Customer Testimonial](https://www.iguazio.com/sessions/netapp-customer-testimonial/): Discover the powerful testimonial of NetApp at Iguazio! Unlock transformative insights and strategies today.
- [NVIDIA on Industrializing Enterprise AI with the Right Platform](https://www.iguazio.com/sessions/nvidia-on-industrializing-enterprise-ai-with-the-right-platform/): Enterprises need a platform that brings together tools to streamline data science workflow and bring innovative concepts into production sooner.
- [Siemens on the Importance of Data Storytelling in Shaping a Data Science Product](https://www.iguazio.com/sessions/siemens-on-the-importance-of-data-storytelling-in-shaping-a-data-science-product/): A deep dive into storytelling with data and how to make sure all your hard work on developing the right model.
- [NetApp's Michael Oglesby on Building ML Pipelines Over Federated Data](https://www.iguazio.com/sessions/building-ml-pipelines-over-federated-data-compute-environments/): Learn more about constructing ML pipelines across federated data and computing environments in our session.
- [Product Madness (an Aristocrat co.) on Predicting 1st-Day Churn in Real Time](https://www.iguazio.com/sessions/product-madness-an-aristocrat-co-on-predicting-1st-day-churn-in-real-time/): Hear from Product Madness about how technology and new work processes can help the gaming and mobile app industries.
- [How to Deal With Concept Drift in Production with MLOps Automation](https://www.iguazio.com/sessions/how-to-deal-with-concept-drift-in-production-with-mlops-automation/): How to detect and handle problems that arise when models lose their accuracy and how to implement concept drift detection in production.
- [S&P Global’s Ganesh Nagarathnam on Bringing ML Pipelines to Production](https://www.iguazio.com/sessions/sp-globals-ganesh-nagarathnam-on-bringing-ml-pipelines-to-production/): Gain insights from S&P Global on operationalizing ML pipelines and aligning business needs with data-driven solutions.
- [Greg Hayes on Uniting Data Scientists, Engineers, and DevOps with MLOps](https://www.iguazio.com/sessions/breaking-the-silos-between-data-scientists-engineers-and-devops-with-new-mlops-practices/): Learn with Greg Hayes how Ecolab is accelerating the deployment of AI applications by using new MLOps methodologies.
- [NetApp’s Shankar Pasupathy on Building Scalable Predictive Maintenance](https://www.iguazio.com/sessions/how-to-build-a-predictive-maintenance-and-actionable-intelligence-solution-at-scale/): How built a solution for predictive maintenance and actionable intelligence that responds in real time to 10 trillion data points per month.
- [Microsoft & GitHub on Git-Based CI / CD for Machine Learning & MLOps](https://www.iguazio.com/sessions/git-based-ci-cd-for-machine-learning-mlops/): Learn about using Git to enable continuous delivery of ML to production, enable controlled collaboration across ML teams, and solve rigorous MLOps needs.
- [Quadient’s Jason Evans on Saving Time & Costs Bringing AI to Production](https://www.iguazio.com/sessions/quadients-jason-evans-on-saving-costs-bringing-ai-to-production/): Learn how industry leaders save costs and get to market faster by leveraging ML pipeline automation and open-source technology.

---


## MLOps Terminologies

- [Data Flywheel](https://www.iguazio.com/glossary/data-flywheel/): LLM grounding refers to the process of anchoring LLM responses in real-world knowledge, in context, or in external data sources.
- [LLM Grounding](https://www.iguazio.com/glossary/llm-grounding/): LLM grounding refers to the process of anchoring LLM responses in real-world knowledge, in context, or in external data sources.
- [AI Proof of Concept](https://www.iguazio.com/glossary/ai-proof-of-concept/): A small-scale, low-risk project designed to test whether an AI solution can deliver business value in a particular context.
- [Knowledge Distillation](https://www.iguazio.com/glossary/knowledge-distillation/): Knowledge distillation transfers knowledge from a large, complex model (called the teacher) to a smaller, simpler model (called the student).
- [Hyperpersonalization in AI](https://www.iguazio.com/glossary/hyperpersonalization-in-ai/): Hyperpersonalization in AI is when AI, ML and real-time data analytics are used to deliver highly individualized experiences, content, or services to users.
- [Self Reflection in LLMs](https://www.iguazio.com/glossary/self-reflection-in-llms/): Self-reflection in an LLM refers to a model's ability to assess, critique and improve its own outputs.
- [Mixture of Experts](https://www.iguazio.com/glossary/mixture-of-experts/): Mixture of Experts (MoE) in AI is a technique that uses multiple specialized models, called "experts," to solve complex problems efficiently.
- [Arithmetic Intensity](https://www.iguazio.com/glossary/arithmetic-intensity/): A frontier model is a highly advanced, large-scale AI model that pushes the boundaries of AI in areas like NLP, image generation, video and coding.
- [Frontier model](https://www.iguazio.com/glossary/frontier-model/): A frontier model is a highly advanced, large-scale AI model that pushes the boundaries of AI in areas like NLP, image generation, video and coding.
- [Context Window](https://www.iguazio.com/glossary/context-window/): The context window for an LLM refers to the maximum number of tokens the model can process in a single interaction.
- [Excessive Agency](https://www.iguazio.com/glossary/excessive-agency/): Excessive agency in LLMs refers to AI making decisions beyond intent, posing risks like bias, misinformation, and loss of control.
- [Reasoning Engine](https://www.iguazio.com/glossary/reasoning-engine/): Learn how to use an AI reasoning engine and why, overcoming hallucinations, components, use cases & how it works.
- [LLM Orchestration](https://www.iguazio.com/glossary/llm-orchestration/): Learn what LLM orchestration is, its key components, and the benefits it offers for optimizing large language model workflows and performance.
- [AI Scalability](https://www.iguazio.com/glossary/ai-scalability/): Discover what AI scalability means, explore key best practices, and tackle common challenges to optimize AI performance and growth.
- [LLM Tracing](https://www.iguazio.com/glossary/llm-tracing/): LLM tracing is the practice of tracking and understanding the decision-making and thought processes within LLMs as they generate responses.
- [Human in the Loop](https://www.iguazio.com/glossary/human-in-the-loop/): "Human in the loop" (HITL) is the process that blends human intervention in an automated or semi-automated AI/ML system.
- [LLM Monitoring](https://www.iguazio.com/glossary/what-is-llm-monitoring/): LLM Monitoring is the set of practices and tools used to track, validate and maintain the performance, safety and quality of LLMs. Learn how.
- [Random Forest](https://www.iguazio.com/glossary/what-is-random-forest/): Understand random forest - An ensemble learning method that combines results from multiple decision trees during training.
- [Prompt Management](https://www.iguazio.com/glossary/what-is-prompt-management/): Understand prompt management - Optimizing and maintaining the prompts used to interact with LLMs for quality, consistency and scalability.
- [LLM Customization](https://www.iguazio.com/glossary/llm-customization/): Explore LLM customization, its importance & applications in fine-tuning, prompt engineering, RAG, RAFT, agents, and performance optimization
- [Chain-of-Thought Prompting](https://www.iguazio.com/glossary/chain-of-thought-prompting/): Chain-of-Thought (CoT) Prompting encourages the model to break down the problem into a series of smaller, logical steps
- [LLM as a Judge](https://www.iguazio.com/glossary/llm-as-a-judge/): "LLM as a judge" refers to the use of LLMs to evaluate content, responses, or performances, including the performance of other AI models.
- [LLM Embeddings](https://www.iguazio.com/glossary/llm-embeddings/): LLM embeddings are vector representations of words, phrases, or entire texts generated by language models. Discover how they work.
- [Gen AI App](https://www.iguazio.com/glossary/gen-ai-app/): Gen AI apps use generative AI technologies and leverage advanced ML models like LLMs, GANs and VAEs, to create or generate new content.
- [AI Infrastructure](https://www.iguazio.com/glossary/ai-infrastructure/): LLM temperature is a parameter that influences the language model’s output, determining whether the output is more creative or predictable.
- [Diffusion Models](https://www.iguazio.com/glossary/diffusion-models/): Diffusion models are powerful generative models that are able to produce high-quality, diverse samples of image, audio or text.
- [Generative Agents](https://www.iguazio.com/glossary/generative-agents/): Generative agents are software entities that use generative models to simulate and mimic human behavior and responses.
- [LLM Optimization](https://www.iguazio.com/glossary/llm-optimization/): LLM temperature is a parameter that influences the language model’s output, determining whether the output is more creative or predictable.
- [LLM Temperature](https://www.iguazio.com/glossary/llm-temperature/): LLM temperature is a parameter that influences the language model’s output, determining whether the output is more creative or predictable.
- [LLM Agents](https://www.iguazio.com/glossary/llm-agents/): An on-premise AI platform runs AI services and applications within the organization's physical environment, rather than on the cloud.
- [On-Premise AI Platform](https://www.iguazio.com/glossary/on-premise-ai-platform/): An on-premise AI platform runs AI services and applications within the organization's physical environment, rather than on the cloud.
- [False Positive Rate](https://www.iguazio.com/glossary/false-positive-rate/): Get insights into the false positive rate in machine learning, its implications, and how to assess model performance.
- [True Positive Rate](https://www.iguazio.com/glossary/true-positive-rate/): True positive rate (TPR) is a performance metric used to evaluate the effectiveness of binary classification models in machine learning
- [RLHF](https://www.iguazio.com/glossary/rlhf/): RLHF is an AI/ML model training approach that combines reward-based reinforcement learning methods and human-generated feedback.
- [Fine-Tuning LLMs](https://www.iguazio.com/glossary/fine-tuning/): Fine-tuning LLMs (Large Language Models) is the process of adapting a pre-trained language model to a specific task or dataset.
- [Prompt Engineering](https://www.iguazio.com/glossary/prompt-engineering/): Prompt engineering is the process of formulating inputs (prompts) to an AI model (usually an LLM) to achieve the desired outputs.
- [LLM Hallucinations](https://www.iguazio.com/glossary/llm-hallucination/): LLMs can sometimes produce outputs that are coherent and grammatically correct but factually incorrect or nonsensical.
- [Auto-Regressive Models](https://www.iguazio.com/glossary/auto-regressive-models/): Auto-regressive models are models used in time series datasets that predict future values based on past values.
- [AI Tokenization](https://www.iguazio.com/glossary/ai-tokenization/): Dive into AI tokenization, explore its usefulness in the AI ecosystem, and understand the advantages it brings to AI applications.
- [Model Behavior](https://www.iguazio.com/glossary/model-behavior/): Model behavior is the way in which a trained ML model makes predictions and decisions when it is exposed to new data.
- [Baseline Models](https://www.iguazio.com/glossary/baseline-models/): Baseline models are simple models that serve as the basis for evaluating the performance of more complex models
- [ML Stack](https://www.iguazio.com/glossary/ml-stack/): An ML Stack is the entire collection of technologies and frameworks used throughout ML development, deployment and management.
- [LLMOps](https://www.iguazio.com/glossary/llmops/): LLMOps refers to the set of practices and tools used to manage, streamline, and operationalize large language models, is a portmanteau of ‘LLM’ and ‘MLOps’.
- [Transfer Learning](https://www.iguazio.com/glossary/transfer-learning/): Transfer learning works by leveraging a pre-trained model's learned features and fine-tuning it on a new task-specific dataset.
- [Foundation Models](https://www.iguazio.com/glossary/foundation-models/): These models, often referred to as "base models" or "pre-trained models," have quickly become the building blocks of many advanced AI systems.
- [Large Language Models](https://www.iguazio.com/glossary/large-language-model-llms/): A large language model is an advanced AI system that has been trained on extensive amounts of data to understand and generate human-like language.
- [Data Ingestion](https://www.iguazio.com/glossary/data-ingestion/): Data ingestion for machine learning refers to the process of collecting and preparing data for use in machine learning models.
- [Data Pipeline Automation](https://www.iguazio.com/glossary/data-pipeline-automation/): Data pipeline automation is the process of automating the flow of data from one system or application to another.
- [Risk Management](https://www.iguazio.com/glossary/risk-management/): This article introduces the concept of risk management for ML and what technical risks come with ML models.
- [MLOps Governance](https://www.iguazio.com/glossary/mlops-governance/): Model governance is a supplementary component to MLOps that supports AI compliance and traceability by improving visibility and control over ML deployments
- [Model Evaluation](https://www.iguazio.com/glossary/model-evaluation/): This article defines model evaluation, discusses its importance, and introduces best practices on how to report on and perform the evaluation.
- [Holdout Dataset](https://www.iguazio.com/glossary/holdout-dataset/): When labels are present (i.e., in supervised learning,) the most simple and commonly used approach for model evaluation is a holdout dataset.
- [Overfitting](https://www.iguazio.com/glossary/overfitting/): Model overfitting is a statistical error in supervised ML, whereby the trained model fits the noise in the training data rather than its actual pattern.
- [Open Source Model](https://www.iguazio.com/glossary/open-source-model/): Open source has always been an integral part of AI. Open source refers to software for which the original source code is made publicly available.
- [Cross-Validation](https://www.iguazio.com/glossary/cross-validation/): An introduction to cross-validation, an overview of its benefits, and a walk through of when and how to use this technique in machine learning.
- [Automated Machine Learning](https://www.iguazio.com/glossary/automated-machine-learning/): Automated machine learning aims to simplify the entry requirements and ongoing resource requirements for developing real life AI solutions.
- [Recall](https://www.iguazio.com/glossary/recall/): Recall in ML: an introduction to this machine learning metric, a discussion of when to use it, and a walk-through of how to improve it.
- [Classification Threshold](https://www.iguazio.com/glossary/classification-threshold/): Classification is the set of algorithms that, together with regression, comprises supervised machine learning (ML).
- [Regression](https://www.iguazio.com/glossary/regression/): This article presents an introduction to ML regression, a review of the most common associated evaluation metrics, a walk-through of when to use regression
- [Model Training](https://www.iguazio.com/glossary/model-training/): This article presents an introduction to model training, a discussion of its importance, and a walk-through of how to train ML models during experimentation.
- [Continuous Validation](https://www.iguazio.com/glossary/continuous-validation/): A comprehensive definition of continuous validation in ML, a review of its importance, and a walk-through of the most common tools used in the field.
- [Model Tuning](https://www.iguazio.com/glossary/model-tuning/): What hyper parameters and model tuning are, why model tuning is important, and how to successfully tune your machine learning models.
- [Noise in ML](https://www.iguazio.com/glossary/noise-in-ml/): Understand the concept of noise in machine learning and its impact on model accuracy and decision-making, and how to handle.
- [Model Accuracy in Machine Learning](https://www.iguazio.com/glossary/model-accuracy-in-ml/): AI accuracy is the percentage of correct classifications that a trained machine learning model achieves.
- [Explainable AI](https://www.iguazio.com/glossary/explainable-ai/): Explainable AI (XAI) is a set of tools and methods that attempt to help humans understand the outputs of machine learning models.
- [Drift Monitoring](https://www.iguazio.com/glossary/drift-monitoring/): A part of the MLOps process, drift monitoring ensures model performance and relevance.
- [Model Serving Pipeline](https://www.iguazio.com/glossary/model-serving-pipeline/): A machine learning (ML) model pipeline or system is a technical infrastructure used to automatically manage ML processes. Learn more here.
- [Image Processing Framework](https://www.iguazio.com/glossary/image-processing-framework/): Image processing is the series of operations aimed at improving the quality of images for computer vision tasks so they can be more predictive. 
- [Kubernetes for MLOps](https://www.iguazio.com/glossary/kubernetes-for-mlops/): Kubernetes is the preferred MLOps tool to manage automated machine learning pipelines in a reproducible, safe, and scalable way.
- [GPU for Machine Learning](https://www.iguazio.com/glossary/gpu-for-machine-learning/): What a GPU is, how it works, how it compares with other typical hardware for ML, and how to select the best GPU for your application.
- [Machine Learning Infrastructure](https://www.iguazio.com/glossary/machine-learning-infrastructure/): A complete machine learning infrastructure famously involves a much wider variety of engineering and procedural components.
- [Model Retraining](https://www.iguazio.com/glossary/model-retraining/): ML model retraining is the MLOps capability to automatically and continuously retrain a machine learning model on a schedule or a trigger.
- [Model Deployment](https://www.iguazio.com/glossary/model-deployment/): Model deployment is the process of putting ML model into production, and it can be resource-intensive and time consuming.
- [Deep Learning Pipelines](https://www.iguazio.com/glossary/deep-learning-pipelines/): Bringing deep learning use cases to production is a particularly complex AI project, given the scale of data required.
- [Model Management](https://www.iguazio.com/glossary/model-management/): Model management is the component of MLOps that ensures a machine learning model is set up correctly.
- [Feature Vector](https://www.iguazio.com/glossary/feature-vector/): ML Glossary: A feature vector is an ordered list of numerical properties of observed phenomena.
- [Model Serving](https://www.iguazio.com/glossary/model-serving/): What production-grade model serving actually is, plus model serving use cases, tools, and model serving with Iguazio.
- [CI/CD for Machine Learning](https://www.iguazio.com/glossary/ci-cd-for-machine-learning/): In this article, we review the basics of a CI/CD pipeline and explain what implementing a CI/CD practice for ML entails
- [Feature Engineering](https://www.iguazio.com/glossary/feature-engineering/): Feature engineering selects and transforms the most relevant variables from raw data to create input features to machine learning models for inferencing.
- [Real Time ML](https://www.iguazio.com/glossary/real-time-ml/): Real-time machine learning applications need a real-time data pipeline to make time-critical decisions on fresh data.
- [Unsupervised Machine Learning](https://www.iguazio.com/glossary/unsupervised-ml/): Unsupervised machine learning algorithms can discover underlying features of a data set for further downstream processing and prediction tasks.
- [Kubeflow Pipelines](https://www.iguazio.com/glossary/kubeflow-pipelines/): Kubeflow pipelines is a platform for scheduling and orchestrating multi- and parallel-step ML workflows in a simple and robust way.
- [Machine Learning Lifecycle](https://www.iguazio.com/glossary/machine-learning-lifecycle/): The machine learning lifecycle is the cyclical process that data science projects follow, to bring business value from ML.
- [Model Monitoring](https://www.iguazio.com/glossary/model-monitoring/): Model performance monitoring is a basic operational task that is implemented after an AI model has been deployed.
- [Concept Drift](https://www.iguazio.com/glossary/concept-drift/): Concept drift is a natural part of an ML system. To ensure that models deliver value, ML teams need to build a drift-aware system.
- [Feature Store](https://www.iguazio.com/glossary/feature-store/): Feature stores are a central place to build, manage and share features across different teams in the organization.
- [ML Pipeline Tools](https://www.iguazio.com/glossary/machine-learning-pipeline-tools/): A machine learning pipeline tool helps automate and streamline machine learning pipelines. Learn more on our page.
- [ML Pipeline](https://www.iguazio.com/glossary/machine-learning-pipeline/): A machine learning pipeline helps to streamline and speed up the process by automating these workflows and linking them together.
- [Operationalizing ML](https://www.iguazio.com/glossary/operationalizing-machine-learning/): Operationalizing machine learning is one of the final stages before deploying and running an ML model in a production environment.
- [Enterprise Data Science](https://www.iguazio.com/glossary/enterprise-data-science/): Enterprise data science combines data scientists, data engineers, IT teams, and more to generate value out of big data. 

---


## Case Studies

- [HCI Builds a Mature Enterprise MLOps Practice to Deploy 73+ Financial Use Cases](https://www.iguazio.com/case-study/hci-mature-mlops-finance/): With Iguazio, Sense powers a wide range of AI products aimed at increasing the efficiency and scalability of their AI operations.
- [LATAM Airlines Group Builds an ML Factory to Generate Business Impact Across the Organization](https://www.iguazio.com/case-study/latam-airlines-group-builds-an-ml-factory-to-generate-business-impact-across-the-organization/): LATAM deploys over 40 AI services across commercial and operational departments to create business value and plan for the post-pandemic future.
- [Seagate Uses AI to Detect Defects on the Factory Floor, Reduce Cost and Improve Yield](https://www.iguazio.com/case-study/seagate-runs-advanced-manufacturing-at-scale/): Seagate transitioned from a manual inspection process via microscope to fully automated deep learning & computer vision inspection
- [Sense Scales Chatbot Automation and HR Tech](https://www.iguazio.com/case-study/sense-scales-chatbot-automation/): Sense leverages automation and AI to speed up the recruitment process, while delivering a hyper-personalized candidate experience.
- [Sense Personalizes the Recruitment Experience with AI Chatbot Automation](https://www.iguazio.com/case-study/sense-automates-and-personalizes-the-recruitment-experience-with-ai/): With Iguazio, Sense powers a wide range of AI products aimed at increasing the efficiency and scalability of their AI operations.
- [LATAM Airlines Group Drives Innovation with a Cross-Company AI Strategy](https://www.iguazio.com/case-study/latam-drives-innovation-with-a-cross-company-ai-strategy/): LATAM deploys over 40 AI services across commercial and operational departments to create business value and plan for the post-pandemic future.
- [LATAM Airlines Group Drives Innovation with a Cross Company AI Strategy](https://www.iguazio.com/case-study/latam-drives-innovation/): LATAM deploys over 40 AI services across commercial and operational departments to create business value and plan for the post-pandemic.
- [S&P Global Makes Engineering Documents Searchable and Indexable with NLP](https://www.iguazio.com/case-study/s-and-p-global-makes-engineering-documents-searchable-indexable-with-nlp/): S&P Global deploys semantic extraction on engineering documents to drive better decision making, processing thousands of PDF files and more.
- [Ecolab Reduces Time to AI Deployment from 12 months to 30 days](https://www.iguazio.com/case-study/ecolab-reduces-time-to-ai-deployment-from-12-months-to-30-days/): Hygiene technologies leader Ecolab brings data science to production with Microsoft Azure and Iguazio
- [Ecolab Deploys Predictive Risk Models](https://www.iguazio.com/case-study/ecolab/): Hygiene technologies leader Ecolab brings data science to production with Microsoft Azure and Iguazio
- [Sheba Medical Center Improves Patient Outcomes and Experiences with AI](https://www.iguazio.com/case-study/sheba-medical-center/): Sheba Medical Center is driving a digital transformation by rapidly deploying and monitoring AI models across clinical and logistical use cases.
- [NetApp Deploys Real-Time Predictive Maintenance](https://www.iguazio.com/case-study/netapp-deploys-real-time-predictive-maintenance/): NetApp deployed Iguazio at the core of Active IQ, analyzing 10 trillion data points in real time from storage sensors worldwide .
- [NetApp Deploys Real-Time Predictive Maintenance & Advanced Analytics](https://www.iguazio.com/case-study/netapp-deploys-real-time-predictive-maintenance-advanced-analytics/): NetApp deployed Iguazio at the core of Active IQ, analyzing data points from storage sensors worldwide to generate actionable intelligence.
- [PadSquad Predicts Ad Performance in Real Time Based on Multivariate Data](https://www.iguazio.com/case-study/padsquad/): PadSquad aggregates and processes real-time ad data, to optimize performance in real-time and deliver timely insights to customers
- [Quadient Saves Time and Costs Getting AI to Production](https://www.iguazio.com/case-study/quadient-case-study/): Quadient unifies and combines every single data type they work with, to help its clients deliver more meaningful customer experiences to consumers.
- [Ecolab Breaks the Silos Between Data Scientists, Engineers and DevOps with New MLOps Practices](https://www.iguazio.com/case-study/video-title-lorem-ipsum-dolor-sit-amet-consectetur-adipiscing-elit-sed-do-2/): How Ecolab is accelerating the deployment of AI applications by using new MLOps methodologies, leveraging microservices and more.
- [Payoneer Uses Real-Time AI for Fraud Prevention](https://www.iguazio.com/case-study/payoneer-case-study/): With a scalable and reliable fraud prediction and prevention model, fraud attacks are almost impossible on Payoneer.

---


## Solutions


---


## Q&A

- [Why should you combine traditional ML with LLMs?](https://www.iguazio.com/questions/why-should-you-combine-traditional-ml-with-llms/): Need to know Why should you combine traditional ML with LLMs? - Check our answer on Iguazio Q&A section.
- [What are the milestones of developing a multimodal agent?](https://www.iguazio.com/questions/what-are-the-milestones-of-developing-a-multimodal-agent/): Need to know What are the milestones of developing a multimodal agent? - Check our answer on Iguazio Q&A section.
- [Managing and Optimizing Costs in Production-Ready Generative AI](https://www.iguazio.com/questions/what-are-some-ways-to-manage-and-optimize-costs-when-deploying-generative-ai-in-production/): Need to know about Managing Costs When Deploying Generative AI Solutions - Check our answer on Iguazio Q&A section.
- [What training is recommended to upskill (gen) AI talent in the organization?](https://www.iguazio.com/questions/what-training-is-recommended-to-upskill-gen-ai-talent-in-the-organization/): Need to know What training is recommended to upskill (gen) AI talent in the organization? - Check our answer on Iguazio Q&A section.
- [What are some examples of how gen AI is impacting operational and business results?](https://www.iguazio.com/questions/what-are-some-examples-of-how-gen-ai-is-impacting-operational-and-business-results/): Need to know What are some examples of how gen AI is impacting operational and business results? - Check our answer on Iguazio Q&A section.
- [How do gen AI and traditional AI complement each other?](https://www.iguazio.com/questions/how-do-gen-ai-and-traditional-ai-complement-each-other/): Need to know How do gen AI and traditional AI complement each other? - Check our answer on Iguazio Q&A section.
- [What are the recommended steps for evaluating gen AI outputs?](https://www.iguazio.com/questions/what-are-the-recommended-steps-for-evaluating-gen-ai-outputs/): Need to know What are the recommended steps for evaluating gen AI outputs? - Check our answer on Iguazio Q&A section.
- [What Guardrails Can Be Implemented in (Gen) AI Pipelines?](https://www.iguazio.com/questions/guardrails-gen-ai-pipelines/): Need to know What Guardrails Can Be Implemented in (Gen) AI Pipelines? - Check our answer on Iguazio Q&A section.
- [Why is It Important to Monitor LLMs?](https://www.iguazio.com/questions/why-is-it-important-to-monitor-llms/): Need to know Why is It Important to Monitor LLMs? - Check our answer on Iguazio Q&A section.
- [RAG vs. Fine-tuning: When to Use Each One?](https://www.iguazio.com/questions/rag-vs-fine-tuning-when-to-use-each-one/): Need to know RAG vs. Fine-tuning: When to Use Each One? - Check our answer on Iguazio Q&A section.
- [What are some tips and steps for improving LLM prediction accuracy?](https://www.iguazio.com/questions/what-are-some-tips-and-steps-for-improving-llm-prediction-accuracy/): Need to know What are some tips and steps for improving LLM prediction accuracy? - Check our answer on Iguazio Q&A section.
- [Which gen AI smart call center app use cases are other companies implementing?](https://www.iguazio.com/questions/which-gen-ai-smart-call-center-app-use-cases-are-other-companies-implementing/): Need to know Which gen AI smart call center app use cases are other companies implementing? - Check our answer on Iguazio Q&A section.
- [What is hyper-personalization in gen AI?](https://www.iguazio.com/questions/what-is-hyper-personalization-in-gen-ai/): Need to know What is hyper-personalization in gen AI? - Check our answer on Iguazio Q&A section.
- [How can organizations address risks in gen AI?](https://www.iguazio.com/questions/how-can-organizations-address-risks-in-gen-ai/): Need to know How can organizations address risks in gen AI? - Check our answer on Iguazio Q&A section.
- [Can LLMs be implemented in non-English languages?](https://www.iguazio.com/questions/can-llms-be-implemented-in-non-english-languages/): Need to know Can LLMs be implemented in non-English languages? - Check our answer on Iguazio Q&A section.
- [What level of PII reduction accuracy in the AI pipeline is acceptable?](https://www.iguazio.com/questions/what-level-of-pii-reduction-accuracy-in-the-ai-pipeline-is-acceptable/): Need to know What level of PII reduction accuracy in the AI pipeline is acceptable? - Check our answer on Iguazio Q&A section.
- [What is a LLM pricing strategy?](https://www.iguazio.com/questions/what-is-a-llm-pricing-strategy/): Need to know What is a LLM pricing strategy? - Check our answer on Iguazio Q&A section. All you need about LLMops.
- [What are the risks of open source LLMs?](https://www.iguazio.com/questions/what-are-the-risks-of-open-source-llms/): Need to know What are the risks of open source LLMs? - Check our answer on Iguazio Q&A section.
- [How can LLMs help determine user intent?](https://www.iguazio.com/questions/how-can-llms-help-determine-user-intent/): Need to know How can LLMs help determine user intent? - Check our answer on Iguazio Q&A section.
- [What’s the best way to get related context to feed the prompt using similarity search?](https://www.iguazio.com/questions/whats-the-best-way-to-get-related-context-to-feed-the-prompt-using-similarity-search/): Need to know What’s the best way to get related context to feed the prompt using similarity search? - Check our answer on Iguazio Q&A section.
- [What are the privacy and security implications of using open source components in AI?](https://www.iguazio.com/questions/what-are-the-privacy-and-security-implications-of-using-open-source-components-in-ai/): Need to know What are the privacy and security implications of using open source components in AI? - Check our answer on Iguazio Q&A section.
- [What's the best way to extract data from video with generative AI?](https://www.iguazio.com/questions/whats-the-best-way-to-extract-data-from-video-with-generative-ai/): Need to know What's the best way to extract data from video with generative AI? - Check our answer on Iguazio Q&A section.
- [What’s the best way to perform search queries in documents with generative AI?](https://www.iguazio.com/questions/whats-the-best-way-to-perform-search-queries-in-documents-with-generative-ai/): Need to know What’s the best way to perform search queries in documents with generative AI? - Check our answer on Iguazio Q&A section.
- [Why is it important for data scientists and DevOps teams to collaborate and communicate around GenAI and MLOps?](https://www.iguazio.com/questions/why-is-it-important-for-data-scientists-and-devops-teams-to-collaborate-and-communicate-around-genai-and-mlops/): Need to know about the Importance of Collaboration in GenAI and MLOps - Check our answer on Iguazio Q&A section.
- [Addressing Scalability and Performance Challenges in Generative AI](https://www.iguazio.com/questions/whats-the-best-way-to-address-scalability-and-performance-challenges-for-a-generative-ai-app/): Need to know best way to address scalability and performance challenges for a generative AI app - Check our answer on Iguazio Q&A section.
- [What are some best practices for establishing thresholds to trigger a new iteration of a generative AI model with new prompts in the ML lifecycle?](https://www.iguazio.com/questions/what-are-some-best-practices-for-establishing-thresholds-to-trigger-a-new-iteration-of-a-generative-ai-model-with-new-prompts-in-the-ml-lifecycle/): What are best practices for establishing thresholds to trigger a new iteration of a generative AI model with new prompts in the ML lifecycle?
- [How can organizations implement guardrails to ensure ethical use of AI?](https://www.iguazio.com/questions/how-can-organizations-implement-guardrails-to-ensure-ethical-use-of-ai/): Need to know How can organizations implement guardrails to ensure ethical use of AI? - Check our answer on Iguazio Q&A section.
- [Is there a privacy issue or data leaking risk with custom models that utilize proprietary or public data?](https://www.iguazio.com/questions/is-there-a-privacy-issue-or-data-leaking-risk-with-custom-models-that-utilize-proprietary-or-public-data/): Need to know about privacy issue or data leaking risk with custom models that use public data - Check our answer on Iguazio Q&A section.
- [What is the key difference between fine tuning and embedding a foundational model?](https://www.iguazio.com/questions/what-is-the-key-difference-between-fine-tuning-and-embedding-a-foundational-model/): Need to know What is the key difference between fine tuning and embedding a foundational model? - Check our answer on Iguazio Q&A section.
- [What are the steps in the MLOps workflow that are specific to LLMs?](https://www.iguazio.com/questions/what-are-the-steps-in-the-mlops-workflow-that-are-specific-to-llms/): Need to know What are the steps in the MLOps workflow that are specific to LLMs? - Check our answer on Iguazio Q&A section.
- [How can LLMs be customized with company data?](https://www.iguazio.com/questions/how-can-llms-be-customized-with-company-data/): Need to know How can LLMs be customized with company data? - Check our answer on Iguazio Q&A section.
- [How can costs be optimized when deploying LLMs?](https://www.iguazio.com/questions/how-can-costs-be-optimized-when-deploying-llms/): Need to know How can costs be optimized when deploying LLMs? - Check our answer on Iguazio Q&A section.
- [Can MLRun be used with Amazon SageMaker?](https://www.iguazio.com/questions/can-mlrun-be-used-with-amazon-sagemaker/): Need to know Can MLRun be used with Amazon SageMaker? - Check our answer on Iguazio Q&A section.
- [MLRun vs. Seldon: What's the difference?](https://www.iguazio.com/questions/mlrun-vs-seldon-whats-the-difference/): Need to know MLRun vs. Seldon: What's the difference? - Check our answer on Iguazio Q&A section.
- [Can MLRun Support Models Built in AWS Dev Accounts for Upstream?](https://www.iguazio.com/questions/can-mlrun-support-models-built-in-an-aws-dev-account-and-promote-them-to-upstream-environments/): Need to know if Can MLRun support models built in an AWS Dev Account - Check our answer on Iguazio Q&A section.
- [<strong>Does MLRun orchestrate on a Kubernetes operator or use a classic Helm chart?</strong>](https://www.iguazio.com/questions/mlrun-k8s-or-helm-chart/): Does MLRun orchestrate on a Kubernetes operator or use a classic Helm chart? Check our answer on Iguazio Q&A section
- [Can MLRun utilize GPUs when running ML jobs?](https://www.iguazio.com/questions/can-mlrun-utilize-gpus-when-running-ml-jobs/): Can MLRun use GPUs? - Check our answer on Iguazio Q&A section.
- [<strong>How do I use MLRun for batch sizing?</strong>](https://www.iguazio.com/questions/batch-sizing/): How to use MLRun for batch sizing - Check our answer on Iguazio Q&A section.
- [<strong>How do I use MLRun for real-time streaming configuration?</strong>](https://www.iguazio.com/questions/how-do-i-use-mlrun-for-real-time-streaming-configuration/): Need to know <strong>How do I use MLRun for real-time streaming configuration?</strong> - Check our answer on Iguazio Q&A section.
- [How do MLRun and Iguazio plug into the ML ecosystem?](https://www.iguazio.com/questions/how-do-mlrun-and-iguazio-plug-into-the-ml-ecosystem/): Need to know How do MLRun and Iguazio plug into the ML ecosystem? - Check our answer on Iguazio Q&A section.
- [MLRun vs. Airflow vs. MLFlow](https://www.iguazio.com/questions/mlrun-vs-airflow-vs-mlflow/): Need to know MLRun vs. Airflow vs. MLFlow - Check our answer on Iguazio Q&A section.
- [Does Iguazio support data versioning and data labelling?](https://www.iguazio.com/questions/does-iguazio-support-data-versioning-and-data-labelling/): Need to know Does Iguazio support data versioning and data labelling? - Check our answer on Iguazio Q&A section
- [<strong>How do you define the overlapping responsibilities between data scientists, data engineers and MLOps engineers?</strong>](https://www.iguazio.com/questions/how-do-you-define-the-overlapping-responsibilities-between-data-scientists-data-engineers-and-mlops-engineers/): Need to know overlapping responsibilities between data scientists, data engineers and MLOps engineers - Check our answer
- [Iguazio vs. MLRun vs. Nuclio: Whats the Difference?](https://www.iguazio.com/questions/iguazio-vs-mlrun-vs-nuclio-whats-the-difference/): Need to know Iguazio vs. MLRun vs. Nuclio: Whats the Difference? - Check our answer on Iguazio Q&A section.
- [What Are the Tradeoffs Between a Data Lake and a Data Warehouse?](https://www.iguazio.com/questions/what-are-the-tradeoffs-between-a-data-lake-and-a-data-warehouse%ef%bf%bc/): Need to know What Are the Tradeoffs Between a Data Lake and a Data Warehouse? - Check our answer on Iguazio Q&A section.
- [Batch Processing vs. Stream Processing: What’s the Difference? ](https://www.iguazio.com/questions/batch-processing-vs-stream-processing/): Need to know Batch Processing vs. Stream Processing: What’s the Difference?  - Check our answer on Iguazio Q&A section.
- [Static Deployment vs. Dynamic Deployment: What’s the Difference?  ](https://www.iguazio.com/questions/static-vs-dynamic-deployment/): Need to know Static Deployment vs. Dynamic Deployment: What’s the Difference?   - Check our answer on Iguazio Q&A section.
- [How do I train a model on very large datasets?](https://www.iguazio.com/questions/how-do-i-train-a-model-on-very-large-datasets/): Need to know How do I train a model on very large datasets? - Check our answer on Iguazio Q&A section.
- [How do I move my batch pipeline over to real time?](https://www.iguazio.com/questions/how-do-i-move-my-batch-pipeline-over-to-real-time/): Need to know How do I move my batch pipeline over to real time? - Check our answer on Iguazio Q&A section.
- [How do I automate the training pipeline with my CI/CD framework?](https://www.iguazio.com/questions/how-do-i-automate-the-training-pipeline-with-my-ci-cd-framework/): Need to know How do I automate the training pipeline with my CI/CD framework? - Check our answer on Iguazio Q&A section.
- [What is the difference between data drift and concept drift?](https://www.iguazio.com/questions/what-is-the-difference-between-data-drift-and-concept-drift/): Data drift vs. concept drift: It’s important to understand the difference between them, because they require different approaches.
- [What is self-supervised learning in machine learning and how is it different from supervised learning?](https://www.iguazio.com/questions/what-is-self-supervised-learning-in-machine-learning-and-how-is-it-different-from-supervised-learning/): Self-supervised learning is an evolving technique of helping ML models to learn from more data, without the human-labelled datasets.
- [How do I serve models for real-time enterprise applications?](https://www.iguazio.com/questions/how-do-i-serve-models-for-real-time-enterprise-applications/): Need to know How do I serve models for real-time enterprise applications? - Check our answer on Iguazio Q&A section.
- [What can I do with model monitoring?](https://www.iguazio.com/questions/what-can-i-do-with-model-monitoring/): Need to know What can I do with model monitoring? - Check our answer on Iguazio Q&A section.
- [Why is model monitoring so important?](https://www.iguazio.com/questions/why-is-model-monitoring-so-important/): Need to know Why is model monitoring so important? - Check our answer on Iguazio Q&A section.
- [Where does a feature store fit into the ML lifecycle?](https://www.iguazio.com/questions/where-does-a-feature-store-fit-into-the-ml-lifecycle/): Need to know Where does a feature store fit into the ML lifecycle? - Check our answer on Iguazio Q&A section.
- [Who benefits from a feature store?](https://www.iguazio.com/questions/who-benefits-from-a-feature-store/): Need to know Who benefits from a feature store? - Check our answer on Iguazio Q&A section.
- [How are ML pipelines evolving to make way for MLOps?](https://www.iguazio.com/questions/how-are-ml-pipelines-evolving-to-make-way-for-mlops-2/): Need to know How are ML pipelines evolving to make way for MLOps? - Check our answer on Iguazio Q&A section.
- [What are a feature store’s capabilities?](https://www.iguazio.com/questions/what-are-a-feature-stores-capabilities/): Need to know What are a feature store’s capabilities? - Check our answer on Iguazio Q&A section.
- [Data preprocessing vs. feature engineering](https://www.iguazio.com/questions/data-preprocessing-vs-feature-engineering-whats-the-difference/): Need to know Data preprocessing vs. feature engineering - Check our answer on Iguazio Q&A section.
- [What are the key components of a successful MLOps strategy?](https://www.iguazio.com/questions/what-are-the-key-components-of-a-successful-mlops-strategy/): Need to know What are the key components of a successful MLOps strategy? - Check our answer on Iguazio Q&A section.
- [What are the pros and cons of MLOps?](https://www.iguazio.com/questions/what-are-the-pros-and-cons-of-mlops/): Need to know What are the pros and cons of MLOps? - Check our answer on Iguazio Q&A section.
- [What are Kubeflow Pipelines?](https://www.iguazio.com/questions/what-are-kubeflow-pipelines/): Need to know What are Kubeflow Pipelines? - Check our answer on Iguazio Q&A section.
- [What businesses benefit the most from MLOps?](https://www.iguazio.com/questions/what-businesses-benefit-the-most-from-mlops/): Need to know What businesses benefit the most from MLOps? - Check our answer on Iguazio Q&A section.
- [How do I select monitoring metrics specific to my use case?](https://www.iguazio.com/questions/how-do-i-select-monitoring-metrics-specific-to-my-use-case/): Need to know How do I select monitoring metrics specific to my use case? - Check our answer on Iguazio Q&A section.
- [How are ML pipelines evolving to make way for MLOps?](https://www.iguazio.com/questions/how-are-ml-pipelines-evolving-to-make-way-for-mlops/): Need to know How are ML pipelines evolving to make way for MLOps? - Check our answer on Iguazio Q&A section.
- [What is MLOps, and why should we care?](https://www.iguazio.com/questions/what-is-mlops-and-why-should-we-care/): Need to know What is MLOps, and why should we care? - Check our answer on Iguazio Q&A section.
- [Why does governance come first in MLOps?](https://www.iguazio.com/questions/why-does-governance-come-first-in-mlops/): Need to know Why does governance come first in MLOps? - Check our answer on Iguazio Q&A section.

---