Thoughts on AI, data engineering and software craft, written by practitioners, not content marketers.
The failure rate of enterprise AI projects is not a secret. What gets talked about less is precisely where these projects break down, and why the same patterns keep repeating.
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Data Engineering
Every conversation about AI focuses on the model. What rarely gets talked about is the infrastructure those models depend on, and what happens when it is built badly.
AI Strategy
AI vendors have learned to be very good at demos. Here is what to ask when the demo is finished and the contract is on the table.
AI Governance
The term "AI audit" means different things to different people. Most definitions are too narrow. Here is how we think about it, and why the scope matters more than the methodology.
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