Systems | Development | Analytics | API | Testing

A Common Data Plane Simplifies Hybrid Cloud and AI

Hybrid cloud was meant to simplify IT — but for many organizations, it has done the opposite. As data spreads across on-premises systems, multiple clouds and edge environments, complexity (not flexibility) has become the defining challenge. With AI initiatives now dependent on distributed, high-quality data, this complexity directly impacts performance, governance, and cost. The lack of a unified view and thereby management of data is the biggest issue spurred by complexity.

Set the Foundation for Trusted AI and Data with Snowflake AI Security

Safely deploy autonomous workflows and agents across your organization in minutes instead of months with Snowflake AI Security. Discover how to new features like use Agent Identity, Data Movement Policies, and the Snowflake Trust Center to effortlessly block data exfiltration, enforce runtime masking, and neutralize threats before they execute.

Is BI dead? No, but the game has changed. A lot.

AI is reshaping many industries and tools at breakneck speed. Business Intelligence is no exception, but things might not end up in a way you might expect. There’s still hope for BI and vendors that manage to embrace, rather than try to fight the AI tsunami. You are an executive looking for answers. Before, in order to get them you had to reach out to your analysts, or external agencies, or try to make sense of broken dashboards set by people who have left the company years ago.

Ep 76 | The Space-AI-Quantum Nexus Challenging Governance

AI governance is already struggling to keep pace. Add quantum computing and space infrastructure, and the challenge becomes exponentially harder. In this episode of The AI Forecast, Paul Muller sits down with technology governance specialist and researcher Preetha Bedi to explore the growing convergence between AI, space, and quantum technologies—and why this nexus is creating entirely new categories of systemic risk.

Automate project intake with multi-agent AI using MCP, Google ADK, Cloud Run, and BigQuery

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.