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The era of Agentic AI is here. These intelligent, autonomous systems are poised to revolutionize how businesses operate, capable of executing complex, multi-step tasks with minimal human intervention. But to act intelligently, AI agents need a constant, real-time stream of diverse and consistent data. A fragmented data landscape with siloed databases creates latency, complexity, and ultimately, a barrier to building effective and reliable AI agents.
Join us for a deep dive into how Google Cloud Spanner's multi-model capabilities provide a powerful, unified data foundation for your most demanding Agentic AI workloads.
In this webinar, you will learn how to:
- Overcome the data challenges of Agentic AI by leveraging a single platform that unifies relational, graph, key-value, and document data models.
- Eliminate data silos and ETL (Extract, Transform, Load) processes with Spanner's "true Zero ETL" interoperability, ensuring your AI agents always have access to the freshest, most consistent data.
- Build a rich, contextual understanding for your AI agents by combining:
- Vector Search for powerful semantic search and Retrieval-Augmented Generation (RAG).
- Spanner Graph to model and traverse complex relationships for knowledge graphs and recommendation engines.
- Full-Text Search for efficient keyword-based information retrieval.
- Ensure data integrity and reliability with Spanner's hallmark strong consistency, a critical requirement for building trustworthy AI applications.
Whether you are building sophisticated fraud detection systems, developing real-time recommendation engines, or creating the next generation of AI-powered virtual assistants, this webinar will provide you with the insights and tools you need to build your Agentic AI future on Spanner.
Don't miss this live event on Thursday, October 30th, 11 AM PT / 2 PM ET.
Register Now to attend the webinar Spanner Multi-Model: The Unified Data Foundation for Your Agentic AI Future.
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MODERATOR |
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Wenzhe Cao
Group Product Manager
Google |
Mohsin Imam
Product Manager
Google |
Neha Bhatnagar
Customer Engineer
Google |
Chris Mague
Customer Engineer
Google |
Stephen Faig
Research Director
Unisphere Research and DBTA |
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