DataGalaxy Blog

AI Portfolio Management: The “Ghost Portfolio” Risk in Data & AI Initiatives
At some point in the last eighteen months, you probably ran a meeting to get visibility on what your organization is actually doing in AI. Someone pulled a deck together. A few team leads sent updates. And by the end of it, the original question was still not answered. The uncomfortable part is not that […]

Governance hype vs. business reality: Moving toward trust models
There’s a growing disconnect in many organizations: Governance is talked about as indispensable, yet it’s often treated as a checkbox. Leaders are eager to adopt data and AI strategies, invest in platforms, and hire data governance officers—but often, implementation lags. In this post, we explore Gartner’s finding that while nearly 89% of data and analytics […]

DataGalaxy MCP server: now speaks fluent AI
Your AI assistant doesn’t know your data (but it should) You’re working with Claude or another AI assistant on a customer analysis. You ask it to find the right data tables. It suggests tables, sounds confident, and may even generate SQL. The problem: the AI doesn’t know that half those tables are deprecated. It doesn’t […]

Product Update March
Our latest updates focus on making data governance easier to manage, improving collaboration around data knowledge, and strengthening technical foundations for integrations and lineage. Here is what’s new and what’s coming soon. Enhanced access control management for the dictionary Workspace Admins can now grant permissions to the entire Dictionary at once and automatically include all […]

Product Update February
This latest release sharpens how teams explore metadata, trust AI answers, and keep integrations running without friction. Each update is designed to make data knowledge more accessible, more connected, and more resilient across your ecosystem. Blink now available directly in your browser Blink is now accessible straight from your browser extension. You can explore and […]

Big data vs. smart data: How to turn volume into value in 2026
The evolution of the data landscape has been relentless: data warehouses, big data, data lakes, data fabrics, and now data mesh. Each wave promised better scalability, faster insights, and a competitive advantage. Yet technology alone does not create value. Organizations that truly succeed with data & AI align architecture, governance, and business strategy. That’s where […]