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LATAM Airlines Group Builds
an ML Factory

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Seagate Uses AI to Detect Defects on the Factory Floor, Reduce Cost and Improve Yield

With Iguazio, Seagate transitioned from a manual inspection process via microscope to fully automated deep learning & computer vision inspection.

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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 to generate actionable intelligence and real-time predictive maintenance for their customers globally.

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Sense Personalizes the Recruitment Experience with AI Chatbot Automation

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.

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HCI Builds a Mature Enterprise MLOps Practice to Deploy 73+ Financial Use Cases

Home Credit International uses Iguazio to accelerate delivery times by 10x and cut operating costs by 60% for over 73 financial use cases

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Quadient Saves Time and Costs Getting AI to Production

Quadient unifies and combines every single data type they work with, to help its clients deliver more meaningful customer experiences to consumers.

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Sheba Medical Center Improves Patient Outcomes and Experiences with AI

Sheba Medical Center is driving a digital transformation by unifying real-time and historic data from different sources and rapidly deploying and monitoring AI models across clinical and logistical use cases.

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Payoneer Uses Real-Time AI for Fraud Prevention

With a scalable and reliable fraud prediction and prevention model, fraud attacks are almost impossible on Payoneer.

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PadSquad Predicts Ad Performance in Real Time Based on Multivariate Data

PadSquad aggregates and processes real-time ad data, to optimize performance in real-time and deliver timely insights to customers

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S&P Global Makes Engineering Documents Searchable and Indexable with NLP

S&P Global (IHS Markit) deploys semantic extraction on engineering documents to drive better decision making, processing thousands of PDF files in parallel and in real time, and orchestrates dependencies with AI.

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Ecolab Reduces Time to AI Deployment from 12 months to 30 days

Ecolab dramatically reduced ML development and deployment times, cutting costs, and enabling its geographically dispersed team to collaborate seamlessly on accelerating the rollout of AI applications

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“Iguazio was the best MLOps platform that provided all of these capabilities”

Alex Rosen
Co-Founder and Head of Product at Sense

“With Iguazio, we are now able to analyze terabytes of video footage in real time, running complex deep learning models in production to predict rainfall,”

Gerard Pijcke
Chief Consultancy Officer, H2i.

"Prior to implementing this solution, model deployment times exceeded 12 months. Thanks to Iguazio and Microsoft Azure, by 2020, these had been reduced to between 30 and 90 days."

Greg Hayes
Data Science Director, Ecolab

“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”

Nathalie Bloch, MD
Head of Big Data & AI at Sheba Medical Center’s ARC Innovation Complex

"Iguazio reduces the complexities of MLOps at scale and provides us with an end-to-end solution for the entire data science lifecycle, with enterprise support, which is exactly what we were after."

Hoseb Dermanilian
Head of Global AI and Analytics Business Development

“With Iguazio’s Data Science Platform, we built a scalable and reliable system which adapts to new threats and enables us to prevent fraud with minimum false positives”.

Yaron Weiss
VP Corporate Security and Global IT Operations

Payoneer Case Study

"Iguazio allowed us to unify and combine any data type to create real-time machine learning models with an out of the box data science toolkit. That to us was worth its weight in gold."

Jason Evans
Director of DXP Innovation

Quadient Case Study

“Iguazio complements the compute power of GPUs by directly connecting GPUs to large-scale, shared data infrastructure.”

Jeffrey Tseng
Director of Product

"Iguazio provides an additional path to run AI on the edge beyond our current Microsoft Azure Machine Learning inferencing on the edge."

Henry Jerez
Principal Group Product Manager

“At Tulipan, we use novel techniques to convert information into knowledge, taking a holistic approach to data. That’s why we were so happy when we came across Iguazio - Iguazio’s data science platform enables the unification of data from all types and sources, along with the development and rapid deployment of AI applications across use cases and environments. Now, Iguazio’s integrated feature store takes real-time data engineering to the next level of automation”

Santiago Gutiérrez
CEO at Tulipan

"Iguazio provides a distributed cloud near the edge for the greater simplicity, performance, security and agility required by next generation applications.”

Ingo Ramesohl
RBVC Technology Managing Director

"We are excited to collaborate with Iguazio to deliver a solution that enables real-time analytics of store data, all centrally managed from Google Cloud.”

Aparna Sinha
Group Product Manager

“Real time AI is critical to ad performance...Working with Iguazio enabled us to get our AI application up and running in a matter of weeks.”

Daniel Meehan
CEO of PadSquad

"The Iguazio Data Science Platform has made our product viable by slashing costs and time getting AI to production. Without this partnership, we would never have been able to harness and process data from so many sources, to make accurate predictions in an efficient and reproducible way"

Asher Bennett
CEO and Founder, Airvi

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