Unlocking AI Potential: How Structured Data Products Power Next-Gen Agents at Google Cloud Next '26

business #agent 📝 Blog|Analyzed: Apr 25, 2026 22:21•

Published: Apr 25, 2026 13:43

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1 min read

Analysis

This insightful report from Google Cloud Next '26 brilliantly highlights the critical bridge between high-quality data and effective AI agents. By treating data as structured products with clear ownership and quality guarantees, businesses can finally move beyond simple analytics to actionable, autonomous problem-solving. The collaboration with Telenor showcases an incredibly practical and exciting approach to overcoming data silos in the enterprise space.

Key Takeaways

•AI agents often fail because data is isolated in silos, lacks business context, or suffers from poor quality and freshness.
•Data should be treated like a retail 'super product' with clear ownership, expiration dates (freshness), and quality guarantees to be truly useful for AI.
•Google's Knowledge Catalog acts as a central 'product shelf', automatically detecting relationships and providing unified context to power advanced agents.

Reference / Citation

View Original

"However, an agent utilizing data products can return the root cause (supplier cancellation or bad weather), the business judgment (whether to avoid billing that supplier), and the next action (scheduled re-acquisition in 4 hours). This difference is the distinction between 'data usable by agents' and 'just data'."

Zenn GeminiApr 25, 2026 13:43

* Cited for critical analysis under Article 32.

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