The fastest way to answer a business question used to be expensive: an analyst on staff, a clean warehouse, a dashboard for every recurring ask. Then AI tools made the fast answer free for everyone. The analytics line item, oddly, did not shrink. Speed became free. Defensibility became the line item.
Snowflake Summit 2026 kicked off with an opening keynote on The Agentic Enterprise — featuring a conversation between Snowflake CEO Sridhar Ramaswamy and Anthropic Co-Founder and President Daniela Amodei on how AI agents are reshaping how enterprises work.
Check out the repo here. Manually vetting hundreds of project requests is a thing of the past. Imagine receiving every proposal with a built in risk score, resource check, and "Go/No-Go" recommendation—delivered in seconds. Join Kevin Blanco as he demonstrates how to build a powerful multi-agent system that seamlessly integrates Google Cloud and Asana. Watch along and see a real world example of automating an infrastructure request, returning instant historical pattern analysis and live workspace context without any manual steps.
BigQuery Graph allows you to build a digital twin of your entire supply chain by turning your physical world—items, recipes, and locations—into a searchable map of nodes and edges, providing a new level of clarity.
Everyone wants an AI agent factory in 2026. Autonomous agents fixing bugs and shipping features while you sleep. I’ve been building toward that myself. But the error rates don’t support the fantasy. The best AI coding agents in the world fix about 50% of real bugs on SWE-bench verified. Half the time they fail. And AI-generated code produces 1.7x more issues than human-written code.
Ever wonder why so many enterprise AI projects never make it past the pilot stage? It’s not the AI—it’s the foundation. In this video, we break down why rushing into complex models without fixing inconsistent data, fragile pipelines, and afterthought governance is a recipe for failure. Fix the basics first!
It's the day before your POC, and the embedded analytics demo still looks like it belongs to someone else. Your designer handed over a brand guide last week. Your developer has been buried in CSS variables ever since: cross-referencing token names, mapping changes across components, reloading the page after every tweak to see what broke. The UI is almost right. The nav color is close. The typography still isn't matching, but there's no time left.
For years, enterprise infrastructure treated security, storage, networking, and compute as mostly separate operational layers. Disruptive technologies tend to blur those lines. We saw this with backup and recovery, virtualization, and now with AI.
From dbt Core v2.0 to AI-powered connectors, Fivetran and dbt unveil joint product innovations that help data teams build open, scalable, AI-ready infrastructure.
See how Fivetran, dbt, and Google Cloud create the fresh, traceable, and well-governed data foundation AI agents need to deliver reliable business insights.