IBM TechXchange Community Group Library

As AI continues to revolutionize industries, the choice between generative AI and traditional machine learning (ML) approaches has become a crucial decision for many organizations. While generative AI offers the promise of unprecedented creativity and flexibility, traditional ML methods have a proven track record of reliability and interpretability. In this session, we'll dive into the strengths and weaknesses of each approach, explore the trade-offs between innovation and control, and discuss the key factors to consider when deciding which path to take. From data quality and problem complexity to business goals and risk tolerance, we'll provide a framework for making informed decisions about when to generate and when to stick with traditional ML.