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- - 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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- - 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
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  - Empowering data scientists at scale
  - Saving lives with an AI-driven vaccine rollout
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  - Better results – for 90% less effort
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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
  - Generate scalable business impact with DataRobot and Microsoft
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- ABOUT DATAROBOT
- IN THE NEWS

Delivering AI ROI at Scale BKG v2

Industry Analyst Report

Driving ROI with AI

Learn why 63% of firms will be advancing their adoption of AI by 2023.

ESI ThoughtLab together with a group of AI leaders that included DataRobot conducted a benchmarking study of 1,200 organizations across industries and world markets to help provide executives with an evidenced-based roadmap for becoming AI-driven.

Download this study to learn the answers to pressing questions businesses have, including:

What are some of the biggest challenges that businesses face in implementing AI across their organizations?
What kind of timeframe can most organizations expect for ROI from AI?
What are the five best practices we uncovered in our research?

We are at an inflection point with AI. Companies are trying to figure out how to empower people to do more with automation and how to navigate the current volatility in the most intelligent way possible, to make better decisions, and ultimately, drive more business value.

Debanjan Saha
Chief Executive Officer, DataRobot

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