For large-scale analytics, how do you create a data platform that unifies all your information and connects it with the latest AI capabilities? In this Register Hot Seat Q&A, Tim Phillips speaks with Geeta Banda, Head of Product Management, Data and Analytics at Google Cloud, to explore how BigQuery is evolving to meet these challenges.

They discuss the realities of building a modern data architecture, the role of agentic AI in generating insights, and practical ways to integrate with existing tools while keeping costs under control.

In this video, you will learn:

• How BigQuery handles diverse data and enables AI-powered insights
• Ways to make analytics faster, more accessible, and cost-efficient
• Strategies to start adopting BigQuery from on-premises environments

Watch now to see how your organisation can prepare its data architecture for the age of AI.