If AI is everywhere, why are so many companies still struggling to make it work?
In Part One "Why Tech Entrepreneurs Can't Treat AI as an Experiment Anymore", we talked about how AI crossed into the business mainstream. Now it's time for the harder question: why do so many implementations stall, underperform, or quietly fail?
In this episode of 10 Minute Tech Talks, we talk to Justine Kasznica and Chris Farmakis of Babst Calland to get into the real blockers, from data quality and security risks to leadership missteps and workforce anxiety — and what smart organizations are doing to overcome them.
This is where AI strategy meets reality. AI doesn't fail because the technology isn't powerful enough. It fails when leadership treats it like a tool to buy instead of a capability to build.
Produced by the Pittsburgh Technology Council, this is a podcast for tech and manufacturing entrepreneurs exploring the tech ecosystem, from cyber security and AI to SaaS, robotics, and life sciences, featuring insights to satisfy the tech curious.
