AI Today Podcast AI Today Podcast: AI Glossary Series – Proof-of-Concept, Pilot, Production
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Dec 6, 2023 The podcast discusses the difference between proof-of-concept, pilot, and production projects in AI. It emphasizes the importance of pilot projects in testing real-world scenarios and highlights the need to avoid assuming that a proof of concept will always lead to success. The hosts also discuss the CPMAI methodology and its benefits for AI project management.
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Avoid POCs for AI
- Avoid proof-of-concept (POC) projects for AI due to high failure rates and low real-world adoption.
- POCs use limited, controlled data, unlike messy real-world data, leading to unrealistic results.
Favor Pilot Projects
- Favor pilot projects over POCs for AI as they use real-world data and systems.
- Test solutions against actual business problems and scenarios for better success.
Ng's POC Failure
- Andrew Ng's Stanford AI project, despite his expertise, failed in the real world.
- Their controlled environment (POC) didn't translate, highlighting the importance of real-world testing.
