AI Simplified: Time Series

Platform
- - 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.
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  - Deployment Infrastructure Choose how you want to deploy DataRobot, from managed SaaS, to private or public cloud.
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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
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  - Empowering data scientists at scale
  - Saving lives with an AI-driven vaccine rollout
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  - 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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  - 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
  - Generate scalable business impact with DataRobot and Microsoft
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Michael Schmidt, Chief Scientist at DataRobot, introduces us to Time Series modeling – one of the hardest problems in data science.