Where AI ambition meets enterprise execution. These essays explore the transition from AI experimentation to industrial-grade capability. Prioritizing measurable value creation, cost-efficient scaling, and the strategic governance required to turn technological promise into a sustainable enterprise asset.
When planning groceries on Monday, you don't add the cookies you'll crave Friday. AI shopping agents face this planning gap: we shop for an idealized self, not the person who wants treats after a long day. Impulse purchases represent over half of grocery revenue.
78% of employees bring their own AI tools to work. The real challenge isn't Shadow AI itself, but distinguishing harmless productivity from genuine risk. Most violations happen because employees don't recognize when they've crossed the line with sensitive data.
Retailers face opposing AI agent strategies: Walmart partners with OpenAI while Amazon blocks access. Most retailers need a third approach: invest in structured, high-quality product data that delivers value today while positioning for an AI-enabled future.
Whether there's an AI bubble is irrelevant to your strategy. AI encompasses diverse technologies delivering real value today. Like the internet after the dot-com crash, the capabilities will remain and improve regardless of market valuations or startup failures.