
AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
What Iteration Really Means with AI [AI Today Podcast]
Jul 12, 2024
AI projects often fail due to small issues, not big problems. Continuous model iteration is crucial for AI success. The podcast emphasizes the significance of ongoing monitoring, retraining, and budgeting. It stresses the importance of a step-by-step approach, cognitive project management, and interdisciplinary team collaboration for AI project success.
08:15
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- AI projects fail due to neglecting continuous monitoring and improvement, not big problems.
- Continuous model iteration and structured methodologies like CPMAI are crucial for AI project success.
Deep dives
The Importance of Continuous Monitoring and Iteration in AI Projects
In AI projects, the critical need for continuous monitoring and iteration is highlighted. Many projects fail due to neglecting ongoing maintenance and improvement. Organizations often fall into the trap of 'set it and forget it' mentality, which leads to a gradual decline in performance known as 'death by a thousand cuts.' Success in AI projects requires a commitment to regular model validation, data monitoring, and adjustment to account for changing data and evolving technologies.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.