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- - Discover the DataRobot AI Platform The only solution that delivers on both your generative and predictive Al needs from end-to-end across any cloud.
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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.
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  - 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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  - 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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  - 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 Chad Harness

Technical Strategic Initiatives Director, DataRobot

Chad Harness is an experienced data scientist and lifelong disabled rights supporter and advocate. At DataRobot, he leads Technical Strategic Initiatives, leading technical training efforts on cutting-edge technologies for technical and non-technical colleagues. He is neurodiverse and a leader of ADAPT, DataRobot’s Employee Resource Group dedicated to providing education and allyship to advocate for and empower DataRobot employees with disabilities to ensure an inclusive work environment.

Chad has a bachelor’s in statistics from North Carolina State University, a master’s in information and data science from UC Berkeley, and seventeen years of applied data science experience in finance and technology, solving business problems with machine learning in areas spanning risk, fraud, retail, marketing, human resources, and manufacturing. He is a passionate lifelong learner.

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