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- AI EXPERIMENTATION
  - 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
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- - 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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Author Benjamin Miller

Customer Facing Data Scientist at DataRobot

Ben Miller is a Customer Facing Data Scientist at DataRobot with a strong background in data science, advanced technology, and engineering. Ben is a machine learning professional with demonstrable skills in the area of multivariable regression, classification, clustering, predictive analytics, active learning, natural language processing, and algorithm R&D. He has scientific training and application in disparate industries including; biotechnology, life sciences, pharmaceutical, environmental, human resources, banking, and media.

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