In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud and creating AI Agent experiences for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models, best agent building framework, and the most integrated agent space, come together to help you orchestrate a solid AI future for your organization.
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Google Cloud Next '25
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by
Katie Nguyen
(Google Cloud)
,
Sri Gari
(Google Cloud)
,
Warren Barkley
(Google Cloud)
,
David Griffiths
(CITI)
,
David Treat
(Pearson)
by
Mark Clare
(Quest Diagnostics, Inc)
,
Steve Walker
(Google Cloud)
,
Razal Minhas
(Ford)
,
Mohit Virendra
(Google Cloud)
In today’s data-driven world, enterprises are seeking scalable, cost-effective and high-performance cloud data warehouses to fuel their analytics and AI initiatives. BigQuery has emerged as a leading solution, attracting many organizations with its serverless architecture, powerful AI and machine learning (ML) capabilities, and a unified data and AI experience. Discover how Quest Diagnostics and Ford successfully migrated to BigQuery to improve efficiency and drive innovation, and learn about new tools to help streamline migrations to BigQuery.