Why Your AI Projects Fail

Want to know why so many enterprise artificial intelligence projects fail before they even start? Tyler Hochman, Forbes 30 Under 30 entrepreneur and CEO of Fore, reveals the expensive mistakes companies make and how to actually generate real ROI.

Dive into the reality of deploying new tech in business as Tyler shares his journey from Stanford startups to building custom architectures for major real estate firms and professional sports teams.

We break down his ERR framework, identifying problems that are Expensive, Repetitive, and Repeatable, and explain why you should never try to solve your edge cases first.

Whether you are a founder trying to optimize your workflow or a leader tasked with bringing innovation to your enterprise, this episode provides a no-nonsense roadmap to making these tools work for you rather than against you.

CHAPTERS

00:00 - Introduction to Tyler Hochman and Fore Enterprise 02:18 - Stanford Origins and Early Entrepreneurial Successes 07:21 - Building Safe Stop and the Trap of Accidental Virality 10:49 - Predicting Employee Turnover Before It Happens 12:49 - Why Fore Shifted Focus to Data Ingestion Architecture 16:10 - The ERR Framework: Expensive, Repetitive, and Repeatable 18:48 - Democratizing NBA Scouting with Video Recognition 24:37 - The Real Reason Most Proof of Concepts Fail 28:05 - Why Edge Cases Will Destroy Your Tech Integration 30:08 - Tech Automation vs. Workflow Optimization 33:27 - Hiring Software Engineers in the Age of Coding Agents 35:01 - How Fore Educates Its Team on Evolving Tech Trends 38:17 - Why Founders Must Constantly Sell Their Vision 41:04 - Achieving Profitability and Expanding to the Bay Area 43:12 - Where to Connect with Tyler Hochman

Host: Jake Aaron Villarreal leads the top AI recruitment firm in Silicon Valley, www.matchrelevant.com, uncovering stories of funded startups and going behind the scenes to tell their founders’ journeys. If you are growing an AI startup or have a great story to tell, email us at: [e-mail]