Deep dives into AI, Data Engineering, and Machine Learning. Practical insights for builders.
Anthropic tested 16 frontier models and found that instructions alone don't prevent harmful behavior. The implications for every organization deploying AI agents are severe — and most aren't ready.
Token spend is the new cloud bill — except it's growing faster, harder to predict, and almost nobody has governance around it. Here's what the shift from compute-based to intelligence-based costs means for data leaders.
AI is making software nearly free to build. But the companies winning the next era aren't the ones shipping fastest — they're the ones customers trust most. Here's why the shift from SaaS to Outcome as a Service changes everything.
Everyone promises self-service analytics, but most implementations fail spectacularly. Here's why it doesn't work and the Snowflake + Tableau approach that actually delivered.
Four times as the first hire, I've built data teams from nothing to 50+ people. Here's the real playbook for hiring sequences, culture building, and avoiding the mistakes that kill growth.
Most data warehouses become dumping grounds for every table and pipeline. Here's how to recognize the signs, calculate the real cost, and execute a cleanup that sticks.
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