Waves 09
Video

How DataRobot Integrates into a Broad Enterprise Technology Ecosystem

Successful AI environments require flexibility and extensibility.

Learn how DataRobot’s open and complete AI lifecycle platform provides seamless and secure integrations with your existing investments in data platforms, AI frameworks, DevOps tools, application stacks, and business processes.

In this session you will learn:

  • Why AI needs to access diverse data sources and have the ability to deploy results of ML into different environments
  • Reduce the operational costs of deploying and running AI
  • What new DataRobot capabilities maximize your ecosystem investments

Speakers

Ksenia Chumachenko
Ksenia Chumachenko

VP, Business Development & Alliances, DataRobot

Bharat Sandhu
Bharat Sandhu

SVP, AI & Application Development Platform, SAP

DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas
Tom Thomas

Vice President of Data & Analytics, FordDirect

The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
Rosalia Tungaraza
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health South Florida

DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. Bodas
Diego J. Bodas

Director of Advanced Analytics, MAPFRE ESPAÑA

The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.
Craig Civil
Craig Civil

Director of Data Science & AI