Data science and the impact it will have on business and society has never been more hyped. Yet the reality is very few organizations today are getting business value from their data science (or AI) investments. A recent study shows that while 85% believe AI will allow their companies to obtain or sustain a competitive advantage, only 5% are using AI extensively. The reason for this gap is because it’s extremely hard for companies to get models (the core of many AI solutions) beyond their data science teams and into production.

In this webinar, Forrester principal analyst Mike Gualtieri and Bayer data scientist Sami Cheong join Domino Director of Product Mac Steele to discuss the underlying causes of this gap and how leading organizations are solving their ModelOps challenges. Join the webinar to learn:

  • Why technology is just one of the barriers holding companies back from realizing the value of their data science investment
  • How Domino’s latest 3.0 release addresses the ModelOps challenge
  • How Bayer’s data science organization uses Domino to develop and deliver model products to their global business

There will be a short demonstration of Domino’s data science platform in addition to practical tips from an industry expert and leading practitioner.

Watch the ModelOps Recording

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