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Why 95% of AI Projects Fail and How to be the 5% with Jon Krohn
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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. As the host of the globally recognized Super Data Science podcast and author of the #1 bestselling book "Deep Learning Illustrated," he brings vast expertise in AI education and practical machine learning applications. Currently serving as a Machine Learning Practice Fellow at Lightning AI, Jon combines his academic background with hands-on industry experience to help organizations implement effective AI solutions.
If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do so are here.
Episode Resources:
- Jon Krohn on LinkedIn
- Y Carrot Website
- Lightning AI Website
- Super Data Science Podcast
- Deep Learning Illustrated Book
- Michael Newcomer on LinkedIn
- Riviera Partners Website
- Riviera Partners on LinkedIn
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