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Don't let outdated data infrastructure hold you back.

To become a front-runner in the race to embrace gen AI, 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.

Our new guide will show you:

Why gen AI is making modernization more urgent than ever
What puts databases at the heart of gen AI apps
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-based data foundation.

Generative AI opens up a new avenue, allowing people to think fundamentally differently about how business works. Whereas AI and ML were more about productivity and efficiency — doing things smarter and faster than before — now, it’s ‘I can do it completely differently than before’.
Carrie Tharp, VP Strategic Industries, Google Cloud

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 Engineering, Databases, Google Cloud

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Developer Advocate of Machine Learning,

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Google Cloud

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Google Cloud

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Google Cloud

ALL DAY TRACKS

Day 1 Agenda

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Pushing the limits of BigQuery with Kabam

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Pushing the limits of BigQuery with Kabam

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Fast analytics at scale with Google BigQuery

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The executive’s guide to getting started with generative AI

Ready to race ahead with generative AI-driven transformation?

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Don't let outdated data infrastructure hold you back.

Generative AI opens up a new avenue, allowing people to think fundamentally differently about how business works. Whereas AI and ML were more about productivity and efficiency — doing things smarter and faster than before — now, it’s ‘I can do it completely differently than before’.

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.

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