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  - Prepare Data for AI Connect data, assess data quality, engineer new features, and integrate with feature stores.
  - Build and Optimize Train hundreds of modeling strategies in parallel using structured and unstructured data.
  - Share Insights and Make Decisions Evaluate model performance, identify key drivers, and create customizable apps to drive decisions.
- AI PRODUCTION
  - Validate and Govern AI Assets Create a centralized system of record for all models, test, approve, and automate compliance documentation.
  - Deploy and Integrate AI 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.
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- - DataRobot Success Stories See how organizations like yours have realized more value from their AI initiatives.
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  - 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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  - Standardize AI processes, tools, and models across various environments
  - 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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Company
- ABOUT DATAROBOT
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Michael-Schmidt-600x600-c-default

Author Michael Schmidt

Chief Technology Officer

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.

Posts by Michael Schmidt

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