Why 95% of AI Projects Fail and How to be the 5% with Jon Krohn

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.

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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