Navigating the Nuances of AI and ML Product Management
Business Analytics Intermediate
As organizations strive to harness the power of AI and machine learning technologies, product managers face unique challenges and considerations when managing AI and ML products. This presentation seeks to illuminate the unique aspects of AI and ML product management by examining the critical factors that set it apart from conventional product management practices.
Product managers face unique challenges when managing AI and machine learning products in this ever-changing landscape. This talk will explore the distinct dimensions of AI and ML product management, emphasizing the critical factors that distinguish it from traditional product management practices.
- The session will look at the characteristics of AI and machine learning products, emphasizing the importance of data in their development. It will go over the complexities of data collection, preprocessing, and ethical concerns.
- The presentation will stress the importance of cross-functional collaboration and technical expertise, as well as effective communication between technical and non-technical teams.
- Attendees will learn about the iterative nature of AI and machine learning product development, as well as the regulatory and ethical landscape surrounding these products.
- The session will also discuss the importance of user experience and explainability, with a focus on designing user-centric interfaces and establishing user trust.
- Product managers and professionals involved in AI and ML product development will gain practical strategies, best practices, and a deeper understanding of the unique aspects of managing AI and ML products by attending this talk.