AI Today Podcast: AI Failure Series – Not Understanding the Model & Data Lifecycle
About this episode
It’s important for organizations to understand all that’s involved that goes into the model. A common reason that AI projects fail is that the team does not understand the model and data lifecycle. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig deeper into this subject and share tips for organizations to overcome this common issue.
Get every episode summarized
Each time AI Today Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from AI Today Podcast
AI as Your New Team Member: Scaling with Confidence – with Michael Joyce
AI Today Podcast
Turn AI into Action — Practical Wins with CP Richardson
AI Today Podcast
Balancing AI and Human Expertise in Professional Certification Training – with C...
AI Today Podcast
AI Project Management in the Pharmaceutical Industry – with Sumathi Arcot
AI Today Podcast