Podcast: Play in new window | Embed
Subscribe: Apple Podcasts | Spotify | Amazon Music | Email | TuneIn | Deezer | RSS
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig deeper into the Patterns & Anomalies pattern of AI. The primary objective of this pattern is to find which one of the things is like the other and which is not. Example use cases include fraud detection and risk analysis, discovering patterns among data and surfacing insights, automatic error detection or correction, intelligent monitoring, finding hidden groups of data, finding best matches to given data, predictive text, and similar applications. Join us as we dig deeper into this pattern.
Show Notes:
- The Seven Patterns of AI
- Understanding The Recognition Pattern of AI
- Understanding the Goal-Driven Systems Pattern of AI
- CPMAI AI & ML Project Management Training & Certification
- Patterns of AI – Conversation / Human Interaction Podcast