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Our AI Failures Series podcast was so popular we wanted to revisit some of the main reasons why we see AI projects fail. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer revisit the discussion around common reasons why AI projects fail. Not every vendor solution solves your problem, regardless of what they may tell you. In this episode we dig into common issues around vendors who are misleading, vendors who are in a state of change (not in a good way), vendors in a market category that might not really exist, vendors that are really consulting companies, and vendor lock in.
Show Notes:
- CPMAI Methodology
- Intro to CPMAI Webinar
- AI Today Podcast: AI Failure Series – Believing Vendor & Industry Hype
- AI Today Podcast: AI Failure Series – Data Quantity & Data Understanding Issues
- AI Today Podcast: AI Failure Series – ROI Misalignment
- AI Today podcast: AI Failure Series- AI projects are NOT like traditional software development projects
- AI Today Podcast: AI Failure Series – The Real World Mismatch
- AI Today Podcast: AI Failure Series – Iteration Time & Proof of Concept vs. Pilots
- AI Today Podcast #48: Pseudo AI – Faking it Till You Make it in AI
