Most AI initiatives stall not because models underperform, but because organizations fail to decide how AI behavior will be evaluated, governed, corrected, and explained. This article outlines the four foundational decisions every team must make before AI starts making decisions on their behalf, and why skipping them quietly breaks AI strategies long before anything ships.
Starting AI projects by picking tools feels like progress, but it often hard-codes architectural decisions before teams understand their risks. This article explains why tools should come last, and how treating them as replaceable implementations leads to more resilient, future-proof AI systems.
Agile requirements are a product owner's best friend. Product owners who don't use agile requirements get caught up with spec'ing out every detail to deliver the right software.
The smartest organizations have discovered a set of best practices to design powerful APIs that leverage existing services, to effectively manage those APIs throughout their lifecycle and to scale their deployment across consumers and devices...
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