When AI Projects Donโ€™t Deliver: Learning from the MIT โ€œGenAI Divideโ€ Study

If you've been keeping up with AI rollout in the corporate world, you're probably feeling the enthusiasmโ€”until you take a hard look at results. An MIT NANDA study drops the hammer: about 95% of enterprise generative AI pilots yield little to no measurable business impact, with only a small 5% driving rapid value creation. That... Continue Reading →

Bridging the Gap: How GenAI Translates Business Vision into Technical Execution for Engineers

One of the oldest challenges in tech projects isnโ€™t just writing good code โ€” itโ€™s making sure engineers are building exactly what the business envisioned. Business leaders speak in terms of outcomes, growth, and customer experience. Engineers think in terms of APIs, database schemas, and deployments. Somewhere in the middle, things often get โ€œlost in... Continue Reading →

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