Identify, solve, verify - “My job is to identify problems that can be solved with code, then solve them, then verify that the solution works and has actually addressed the problem."
Trump’s pressure on Apple to make All-American phones ignores the last tech giant that tried and failed - If no one wants the product, it doesn’t matter where it’s made. // “In the end, Motorola’s failed U.S. adventure had little to do with where the Moto X was assembled, by all accounts. The phone simply didn’t sell well enough to justify a U.S. assembly line."
Musings on The AI Con - “ask more questions of those pushing AI into everything. What, specifically, is the goal? What is supposed to be automated by the new tool? What are its inputs and outputs supposed to be? What does success look like, exactly? What would count as failure to achieve the goal?"
Arriving at ‘Hello World’ in enterprise AI - The (slow) nature of digital transformation hits AI like a sack of bricks in the face. The brick avoidance techniques are the same as always, a duel approach: (1) sell a “business outcome” to execs, a measurable improvement to either making money or cutting costs (2) enable developers to smuggle in AI that is then more costly to get rid of than to accept. Each takes years to build up to big revenue. Is this bad? Not for the enterprise natives.
VMware Tanzu CIO Checklist for Safer and More Scalable AI Application Delivery - If you’re doing some enterprise AI strategamagizing, here is a good list of things to ponder and pester your direct reports about.