On enterprise transformation, disruption, and why the mid-market can win.
Everyone wants AI. Few organizations know if their data is ready for it. The honest answer to why data transformation gets funded and never finished — and what the companies that get it right do differently.
Read article →The companies winning with AI aren't doing anything exotic. They understand their processes before they touch the technology — and the data says that gap is the whole ballgame.
Read article →Three hype cycles in under a decade. Three different technologies. The same outcome. Process discipline and data literacy are what separate the 5% from the 95%.
Read article →Companies are pouring in billions. The money isn't working — at least not yet. AI ROI requires three things, and none of them are technology.
Read article →Clayton Christensen's Innovator's Dilemma is playing out again — in real time, with AI. The Fortune 500 is pouring billions in. The mid-market might be the one that benefits most.
Read article →Few Tokens Were Harmed — a series on AI transformation, written by practitioners.
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