AI Expectations vs. Reality
Companies often dive into AI without understanding their data, leading to poor outcomes. Joe emphasizes the necessity of analytics before machine learning, while Matt highlights the importance of starting with business logic to refine models. Jon shares a cautionary tale from a hedge fund, illustrating the gap between the hype surrounding AI and the complex realities of data processing and model building.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
SDS 595: Data Engineering 101 — with Joe Reis and Matt Housley
Related Questions