Iguazio Named in 8 Gartner Hype Cycles for 2022
August 2, 2022
We’re proud to share that Iguazio has been named a sample vendor in eight Gartner Hype Cycles in 2022; alongside global industry leaders like AWS, IBM, Microsoft, Google, Databricks and Dataiku.
Sense Selects Iguazio for AI Chatbot Automation
July 31, 2022
With Iguazio, Sense powers a wide range of AI products aimed at increasing the efficiency and scalability of their AI operations. Sense leverages automation and AI to speed up the recruitment process, while delivering a hyper-personalized candidate experience.
Iguazio Partners with Snowflake to Automate and Accelerate MLOps
June 14, 2022
The Iguazio Platform and built-in Feature Store now offers connectivity to the Snowflake Data Cloud, providing a full solution for enterprises looking to generate real business value with data science in an efficient, scalable and repeatable way.
Iguazio named in The Coolest Data Science And Machine Learning Tool Companies Of The 2022 Big Data 100
April 28, 2022
CRN’s Big Data 100 includes a look at the vendors solution providers should know in the data science and machine learning tool space.
GigaOm Names Iguazio a Leader and Outperformer for 2022
April 7, 2022
We’re proud to share that the Iguazio MLOps Platform has been named a leader and outperformer in the GigaOm Radar for Data Science Platforms: Pure-Play Specialist and Startup Vendors report.
Iguazio named in Forrester's Now Tech: AI/ML Platforms, Q1 2022
April 4, 2022
We are delighted to share that Iguazio has been named along with Microsoft, Databricks, Cloudera, Alteryx and others in Now Tech: AI/ML Platforms, Q1 2022, Forrester’s Overview of the Leading AI/ML Platform Providers, by Mike Gualtieri.
LATAM Airlines Group Selects Iguazio to Operationalize Machine Learning as Part of Its Post-Pandemic Innovation Strategy
April 4, 2022
Iguazio announced that LATAM – the leading airline group in Latin America – has selected its MLOps platform for a large scale, cross-company AI innovation project.
Iguazio Partners with Pure Storage to Operationalize AI for Enterprises
October 26, 2021
"Together, Iguazio and Pure Storage empower enterprises to continuously roll out new AI services by adopting a production-first mindset using technologies which later allow them to scale with AI. Enterprises can start to focus on their business applications and not the underlying infrastructure."
Iguazio MLOps Platform Now Supports Amazon FSx for NetApp ONTAP
October 20, 2021
"Iguazio is a strategic NetApp partner. The new support of FSx for ONTAP provides customers with enterprise-level data management, advanced storage services including as tiering and snapshotting, and high performance and scalability, supporting the most extreme workloads."
Iguazio MLOps Platform Launches in AWS Marketplace
October 6, 2021
"“We believe all enterprises deserve a faster and easier path to rolling out new AI services,” commented Asaf Somekh, Co-Founder and CEO, Iguazio. “Now it is much easier for AWS customers to gain access to Iguazio’s unique MLOps solution and create real business impact faster.”"
All That Hype: Iguazio Listed in 5 Gartner Hype Cycles for 2021
August 5, 2021
We are proud to announce that Iguazio has been named a sample vendor in five 2021 Gartner Hype Cycles, including the Hype Cycle for Data Science and Machine Learning, the Hype Cycle for Artificial intelligence, Analytics and Business Intelligence, Infrastructure Strategies and Hybrid Infrastructure Services.
MLOps: The Latest Shift in the AI Market in Israel
June 27, 2021
"The speed at which technological breakthroughs are occurring has no precedent in previous periods of transformation. The adoption of AI has been a key element of the digital transformation, highlighting the need for new organizational disciplines."
Iguazio Announces ‘MLOps for Good’ Virtual Hackathon
May 24, 2021
Iguazio announced its first ever global virtual hackathon, which is starting today and will take place until June 29th, 2021. With a mission to foster projects that can immediately impact real-world issues, with partners Microsoft, MongoDB and sponsor Aztek
Iguazio Named A Fast Moving Leader by GigaOm in the ‘Radar for MLOps’ Report
May 1, 2021
We’re proud to share that the Iguazio MLOps Platform has been named a fast moving leader in the GigaOm Radar for MLOps report.
Boston Limited and Iguazio Partner to Operationalize AI for the Enterprise
June 15, 2021
Iguazio, the data science & MLOps platform build for production, announced a strategic partnership with Boston Limited, an NVIDIA Elite Partner and leading provider of high-performance, mission critical server and storage solutions.
The Next-Level of Operationalizing Machine Learning: Real-time Data Streaming into Data Science Environments
March 18, 2021
Applying data science models to streaming data in real-time delivers several advantages. It can supercharge the performance and accuracy of AI-powered applications through the rapid consideration and ingestion of newly identified insights.
Iguazio Receives an Honorable Mention in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
March 11, 2021
We’re proud to share that Iguazio has received an honorable mention in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 2021. This is the second year in a row that Iguazio receives this recognition.
The AI Infrastructure Alliance Launches With 25 Members to Create the Canonical Stack for Artificial Intelligence Projects
February 24, 2021
"Today, the AI Infrastructure Alliance (AIIA), officially launched with the mission to create a robust collaboration environment for companies and communities in the AI and ML space. This global Alliance brings together top technologists across the AI spectrum and includes a wide range of member companies."
Git-based CI/CD for Machine Learning and MLOps
January 25, 2021
ML engineers aiming to truly automate ML pipelines need a way to natively enable continuous integration of machine learning models to production. Several services can incorporate CI/CD into ML pipelines. Still, they place data scientists into a black-box silo situation so that they must build, train, track, and deploy within a closed technology stack.
Iguazio Launches the First Integrated Feature Store Within its Data Science Platform
December 16, 2020
“Using Iguazio, we are revolutionizing the way we use data, by unifying real-time and historic data from different sources and rapidly deploying and monitoring complex AI models to improve patient outcomes and the City of Health’s efficiency”, said Nathalie Bloch, MD, Head of Big Data & AI at Sheba Medical Center.
Sheba, Iguazio to Develop Real-Time AI to Optimise Patient Care
December 17, 2020
Iguazio was selected to assist the digital transformation of Sheba with real-time AI and machine learning operations (MLOps) in several projects. "Sheba will use the Iguazio Data Science Platform to foresee and lessen complications in cases such as Covid-19 patient deterioration or support decision-making throughout surgery.
Iguazio’s Data Science Platform Achieves ‘AWS Outposts Ready’ Designation
November 30, 2020
Data science company Iguazio Systems Ltd. hit a new milestone today, announcing that its platform has been certified to run on Amazon Web Services Inc.’s hybrid cloud infrastructure offering, AWS Outposts.
Faktion and Iguazio Bring Data Science to Production for Smart Mobility Companies in Europe
September 21, 2020
Iguazio announces a strategic partnership with Faktion, a boutique, end-to-end Artificial Intelligence (AI) service provider for smart mobility technologies across Europe.
PadSquad Deploys the Iguazio Data Science Platform to Predict Ad Performance in Real-Time
September 21, 2020
"The integration of Iguazio’s Data Science Platform into PadSquad’s tech stack will not only enable them to rapidly deploy new AI applications but will also accelerate their impressive growth."
Why You Need to Start Thinking About MLOps
September 8, 2020
Companies like Amazon and Uber achieved dominance by leveraging AI/ML as a core competency. In the vast majority of companies where AI/ML is not part of the DNA, building an AI culture is a journey, but practical steps exist to make it feasible.
SFL Scientific and Iguazio Partner to Speed Up Custom AI Development for Fortune 1000 companies
July 14, 2020
Top tier consultancy partners with a leading data science platform company to simplify and expedite development and deployment of AI for enterprises across industries: Finance, insurance, healthcare, retail, manufacturing, gaming, AdTech, etc.
NetApp Deploys Iguazio to Run AI-Driven Digital Advisor on Active IQ
June 11, 2020
Iguazio announced a new strategic customer, NetApp, which is using its platform to analyze 10 trillion data points per month, to automate the support and optimization of storage.
The Coolest Data Science And Machine Learning Tool Companies Of The 2020 Big Data 100
April 30, 2020
Iguazio featured in CRN’s 2020 Big Data 100 and highlighted as a vendor solution providers need to know in the data science and machine learning software space.
Iguazio Receives an Honorable Mention in the Gartner MQ for Data Science and ML Platforms
February 20, 2020
Gartner mentions the Iguazio Data Science Platform in its 2020 Magic Quadrant for Data Science and Machine Learning Platforms.
Enabling end-to-end machine learning workflows with Iguazio
April 7, 2020
Dell EMC utilizes Iguazio technology to implement optimized machine learning and deep learning projects faster and to manage and scale them more easily.
Iguazio Deployed by Payoneer to Prevent Fraud
January 28, 2020
Payoneer Uses Iguazio to Move From Detection to Prevention of Fraud With Predictive Machine Learning Models Served in Real-Time.
The Rise of MLOps: What We Can All Learn from DevOps
October 8, 2019
One of the most interesting technologies shared during the conference was Iguazio’s Nuclio. Orit Nissan-Messing, Iguazio's VP R&D sat down with...
The 12 Coolest Machine-Learning Startups Of 2020
November 18, 2020
"The 12 coolest machine-learning startups include companies that are developing leading-edge technology for building machine-learning models and collecting and managing the vast amounts of data needed to train those models."
