Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
When AI Runs Out of Road
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AI can get anyone to 60% of a finished output in minutes. A novice with the right prompt can produce something that looks polished, credible and complete. And to anyone who doesn’t know what “finished” actually looks like, it might even pass for the real thing. But getting from 60% to 100% - the part where real insight lives - is a different problem entirely. In a recent Forbes article, Brent Dykes mapped out exactly what happens in that gap with his Four Zones of AI Productivity framework. His conclusion: better AI tools won’t close the capability gap between experts and novices. They’ll widen it. In the latest Value Boost episode of Value Driven Data Science, Brent joins me to apply that framework specifically to the insight generation process and to explore what it means for data professionals who want to position themselves as strategic advisors in an AI-first world. In this episode, you’ll discover:
The data professionals who thrive won’t be the ones who use AI the most. They’ll be the ones who know what to do when AI runs out of road. Listen now on Apple Podcasts or Spotify, or click the link below: Episode 104: The Four Zones of AI Productivity for Data Scientists Talk again soon, Dr Genevieve Hayes |
Data Science Impact Algorithm
Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
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