Did you know 90% of companies have started their Generative AI journey but only 13% have managed to move a solution into production. To solve this, organizations need to solve two main problems. One, they need to establish a way to safely build, operate, and govern solutions that fit their use case, and they need to arm teams with the necessary tools and knowledge to bring those Generative AI models to production.
Join this session with Merlin Yamssi and Luke Shulman as they walk through how DataRobot and Google Cloud deliver the tools and expertise to build your AI pipeline, and what you need to do to get your models into production.
Speakers
Luke Shulman
Merlin Yamssi
Chris deMontmollin
What you’ll learn in this webinar:
- How to build an AI solution for your exact use case using the 130+ models in Google Model Garden, including Gemini
- How to use DataRobot to build AI blueprints and then test those blueprints against one another
- How to deliver AI value to end users through deployment into any AI app
- How DataRobot provides everything you need to monitor and govern models across the organization, regardless of where they’re built or deployed