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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.
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  - Validate and Govern Models Create a centralized system of record for all models, test, approve, and automate compliance documentation.
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  - Monitor and Measure ROI Monitor, measure and diagnose model accuracy, ROI, and bias in real-time from any hosting environment.
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  - 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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  - Effortlessly build and deploy custom ML models with DataRobot and SAP
  - Unleash the power and value of data with DataRobot and Snowflake
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  - Rapidly prototype and deploy AI models with DataRobot on AWS
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Ted-Kwalter-DataRobot-e1662989319732-600x600-c-default

Author Ted Kwartler

Field CTO, DataRobot

Ted Kwartler is the Field CTO at DataRobot. Ted sets product strategy for explainable and ethical uses of data technology. Ted brings unique insights and experience utilizing data, business acumen and ethics to his current and previous positions at Liberty Mutual Insurance and Amazon. In addition to having 4 DataCamp courses, he teaches graduate courses at the Harvard Extension School and is the author of “Text Mining in Practice with R.” Ted is an advisor to the US Government Bureau of Economic Affairs, sitting on a Congressionally mandated committee called the “Advisory Committee for Data for Evidence Building” advocating for data-driven policies.

Posts by Ted Kwartler

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