Race ahead with generative AI-driven transformation
To unlock the full potential of AI agents, you need to ground your models in your enterprise data. The right database is key.
Don’t let outdated data infrastructure hold you back.
To become a front-runner in the race to embrace AI agents and gen AI apps, it’s critical that you add operational databases to your game plan.
Why? Because, without them, you can’t ground your models in contextual data—which means you can’t give your customers the results they want.
This new guide from our partner Google Cloud will show you:
- Why gen AI is making modernization more urgent than ever
- What puts databases at the heart of AI apps and agents
- How Google Cloud databases help you build apps grounded in your enterprise data
- Strategies for getting started, plus an example of building a product search app
As you’ll learn in the guide, it all starts with a modern cloud database.
"It’s a really exciting time for databases, because we’re seeing how organizations can bridge the gap between foundation models and enterprise gen AI apps with operational databases to contextualize and personalize the user experience."
— Andi Gutmans, GM and VP of Data Cloud at Google Cloud