Signal to Noise · 2025-11-25 · 58 min
As AI capabilities are doubling every seven months, organizations face a pivotal challenge: How do you successfully implement AI when 95% of projects fail? In this episode of the Signal to Noise Podcast, host Michael Newcomer is joined by Jon Krohn, Co-Founder and CEO of Y Carrot, to share groundbreaking insights on the evolving landscape of AI and data science. What You’ll Learn: Why AI capabilities are doubling every seven months and how to prepare your organization How to identify and prioritize high-ROI AI projects versus getting distracted by flashy front-end applications The evolution of data science skills from coding expertise to experimental design and strategic thinking Why back-office automation presents vastly more opportunity than customer-facing AI applications How to balance digital transformation with maintaining real human connections and experiences The framework for successful AI project implementation to be in the 5% that succeed rather than the 95% that fail Jon Krohn is the Co-Founder and CEO of Y Carrot, a data science consultancy delivering AI solutions to Fortune 50 companies, startups, and government agencies.
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