Strategic organizations are rapidly prototyping and deploying highly accurate AI models in a cost-effective, scalable and secure manner with DataRobot on AWS. With seamless integration between Amazon services and the DataRobot AI platform, data scientists leverage the investments already in place in the organization to build, deploy and monitor their AI models in one unified platform.
Data-driven business decisions are more quickly developed due to integrations between DataRobot and Amazon Redshift, Amazon S3 and Amazon Athena. Plus, models built in Amazon SageMaker or elsewhere in the ecosystem can also be deployed, monitored, and re-trained using DataRobot MLOps for unified view into AI performance. In this fireside chat, learn about organizations who are driving revenue, improving customer service, and supporting innovation through AI-driven data science strategies.
In this session, you will learn:
- Real world use cases involving the DataRobot AI platform and AWS services
- How to leverage integrations that securely and rapidly drive results
- Cost-effective strategies to develop data science experiments and production models
Speakers
