Moving Towards Managing AI Products – Insight Data

A successful product has consistent behavior, meets or exceeds user-expectations, and significantly contributes to the top-line growth for the business. It is vital for a Product Manager to set and manage the expectations of users, gather quantifiable feedback regularly, communicate it rigorously to engineers, and make sure the product pragmatically evolves with the business and market transitions. AI products, however, can differ significantly from traditional products. For example, in my prior experience as a Product Manager, success was measured through delivery of a'deterministic' product that always delighted customers -- a hardware product has the same behavior under the standard conditions, the same user actions in a software product results in the same expected response. An AI-driven product, however, may not always have a deterministic behavior and may in fact produce counter-intuitive results -- a personalized recommender system may produce different results to a user action after learning additional preferences.