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- - Discover the DataRobot AI Platform The only fully open, end-to-end AI lifecycle platform with deep ecosystem integrations and applied AI expertise.
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- ML EXPERIMENTATION
  - Prepare Modeling Data Connect data, assess data quality, engineer new features, and integrate with feature stores.
  - Build Models Train hundreds of modeling strategies in parallel using structured and unstructured data.
  - Make Business Decisions Evaluate model performance, identify key drivers, and create customizable apps to drive decisions.
- ML PRODUCTION
  - Validate and Govern Models Create a centralized system of record for all models, test, approve, and automate compliance documentation.
  - Integrate Models Deploy and integrate any model, anywhere with multiple deployment options.
  - Monitor and Measure ROI Monitor, measure and diagnose model accuracy, ROI, and bias in real-time from any hosting environment.
- OPEN ECOSYSTEM
  - Platform Integrations Unify your data warehouses, ML APIs, workflow tooling, BI tools and business apps.
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- - DataRobot Success Stories See how organizations like yours have realized more value from their AI initiatives.
- FEATURED CUSTOMERS
  - Elevating patient care and operations
  - Increasing graduation rates 3X
- #
  - Empowering data scientists at scale
  - Saving lives with an AI-driven vaccine rollout
- #
  - Earning better results - for 90% less effort
  - Advancing affordable housing and doubling analytics productivity
Partners
- - DataRobot Partners Unify all of your data, ETL and AI tools in our open platform with our Technology Partners, extend your cloud investments with our Cloud Partners, and connect with DataRobot Services Partners to help you build, deploy or migrate to the DataRobot AI Platform.
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- OUR PARTNERS
- FEATURED PARTNERS
  - Effortlessly build and deploy custom ML models with DataRobot and SAP
  - Unleash the power and value of data with DataRobot and Snowflake
- #
  - Rapidly prototype and deploy AI models with DataRobot on AWS
  - Generate scalable business impact with DataRobot and Microsoft
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Michael-Schmidt-600x600-c-default

Author Michael Schmidt

Chief Technology Officer, DataRobot

Michael Schmidt serves as Chief Technology Officer of DataRobot, where he is responsible for pioneering the next frontier of the company’s cutting-edge technology. Schmidt joined DataRobot in 2017 following the company’s acquisition of Nutonian, a machine learning company he founded and led, and has been instrumental to successful product launches, including Automated Time Series. Schmidt earned his PhD from Cornell University, where his research focused on automated machine learning, artificial intelligence, and applied math. He lives in Washington, DC.

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