52 min

AI Failure Series - Overpromising and Underdelivering AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

    • Technology

AI is not new - in fact the term was coined in 1956. Why then, if it's been around for decades, and we are now on our third major wave of AI interest and hype, do we keep making the same mistakes that have brought us to two previous AI Winters? Are we still overpromising what AI can deliver? In this podcast hosts Kathleen Walch and Ron Schmelzer will discuss why we are still overpromising and underdelivering on what AI can do, how we can address this, and what can be done to set realistic expectations to ensure AI project success.








Show Notes:








CPMAI MethodologyAI Today podcast: AI Failure Series- AI projects are NOT like traditional software development projectsAI Today Podcast: AI Failure Series – ROI MisalignmentAI Today Podcast: AI Failure Series- Data Quality IssuesAI Today Podcast: AI Failure Series – Data Quantity & Data Understanding IssuesAI Today Podcast: AI Failure Series – Not Understanding the Model & Data LifecycleAI Today Podcast: AI Failure Series – Believing Vendor & Industry HypeAI Today Podcast: AI Failure Series – The Real World MismatchAI Today Podcast: AI Failure Series – Iteration Time & Proof of Concept vs. PilotsAI Today Podcast #005: The AI WintersAI Today Podcast #67: AI in the museum: Interview with Kristi Delich, Deputy Director, Office of Visitor Services, Smithsonian Institution

AI is not new - in fact the term was coined in 1956. Why then, if it's been around for decades, and we are now on our third major wave of AI interest and hype, do we keep making the same mistakes that have brought us to two previous AI Winters? Are we still overpromising what AI can deliver? In this podcast hosts Kathleen Walch and Ron Schmelzer will discuss why we are still overpromising and underdelivering on what AI can do, how we can address this, and what can be done to set realistic expectations to ensure AI project success.








Show Notes:








CPMAI MethodologyAI Today podcast: AI Failure Series- AI projects are NOT like traditional software development projectsAI Today Podcast: AI Failure Series – ROI MisalignmentAI Today Podcast: AI Failure Series- Data Quality IssuesAI Today Podcast: AI Failure Series – Data Quantity & Data Understanding IssuesAI Today Podcast: AI Failure Series – Not Understanding the Model & Data LifecycleAI Today Podcast: AI Failure Series – Believing Vendor & Industry HypeAI Today Podcast: AI Failure Series – The Real World MismatchAI Today Podcast: AI Failure Series – Iteration Time & Proof of Concept vs. PilotsAI Today Podcast #005: The AI WintersAI Today Podcast #67: AI in the museum: Interview with Kristi Delich, Deputy Director, Office of Visitor Services, Smithsonian Institution

52 min

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