“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, 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."
Shankar Pasupathy
Senior Director for Active IQ at NetApp
"We chose the Iguazio MLOps platform to operationalize data science, fueling more efficient and environmentally-friendly operations, enhanced safety and better customer service"
Juliana Rios
IT & Digital Vice President, LATAM Airlines Group
“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
“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, PadSquad
“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, Tulipan
"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
"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
“With Iguazio’s feature store, MongoDB Atlas, our fully managed cloud database, can easily store features that are ready to use in machine and deep learning, making MLOps a reality. This refines the experience for both our advanced users, who are scaling AI, and those just starting out on their AI journey to innovate on top of an already powerful database.”
Boris Bialek
Global Head of Enterprise Modernization, MongoDB
“Iguazio complements the compute power of GPUs by directly connecting GPUs to large-scale, shared data infrastructure.”
Jeffrey Tseng
Director of Product, NVIDIA
"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, Microsoft Azure
"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, Bosch
"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, Google Cloud
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