Synthetic Data Won’t Save You From a Bad Privacy Strategy

A company swaps production records for generated data, calls the new dataset privacy-safe, and grants a wider group of developers access to it. The access problem looks solved. The... Read more »

AI Writes the Code. Humans Still Carry the Risk

AI Made the First Draft Cheap: Correctness Is Still Expensive On June 16, Databricks introduced an AI agent that builds forecasting models, deploys apps, and writes its own documentation... Read more »

AI Agents Need Context, Not Perfect Data: The Case for Risk-Based Data Quality

Gleb Mezhanskiy spent years building tools to make enterprise data clean. In March 2026, the Datafold CEO told his audience the effort never paid off the way software monitoring... Read more »

Digital Transformation Starts Where Decisions Happen, Not Where Data Is Stored 

The Data Centralization Myth: Why Transformation Needs Governed Decentralization  Companies spend millions on warehouses, lakehouses, and governance layers, then wonder why decisions still crawl through committees and ticket queues.... Read more »
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