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Data engineering has a burnout problem. For years, teams have drowned in tickets, fixing the same broken pipelines while the business screams for “real-time” answers. The reality is that data ecosystems developed way faster than the processes supposed to manage them. Pipelines multiplied, dependencies deepened, and even a minor upstream change triggered a cascade of… Read More

Part 1: Why Your Old Governance Playbook Won’t Survive the Agentic AI Era A company’s AI team just deployed its biggest autonomous agent framework yet this quarter. The agents are rewriting code, approving minor customer refunds, and even flagging internal fraud. They’re efficient. They’re scalable. But they’re… opaque. That’s the big concern. If you’re leading… Read More