The product manager in the artificial intelligence world

Abstract

Cloud applications, artificial intelligence, machine learning, data insights, rapid prototyping, design thinking, and faster decision making are becoming more and more significant in the daily life of the product manager. Basic physical, digital, and biological technologies are intersecting to create large scale system changes, altering the very fabric of our social system. More than ever, the product manager is faced with the challenges of proactively designing the systems of the future. This study will deal with the question: how can the product manager thrive in an artificial intelligence machine learning world?. With the advancement in machine learning, products can now significantly differ from the traditional style of product designs. One widely known example is how Google answers our questions with the best possible answers through ranking. Similarly, Netflix or Spotify suggest media to customers using the process of recommending, giving users things they may be interested in, without them explicitly searching. On the other hand, Gmail groups an email as spam or not spam through classifying. With these many possibilities, today's product manager must understand the actual problem that must be solved to grow customer value systems in line with the company's goals. And while product managers inspire through vision, decisions must roll downstream and be implementation-based like an assembly line. More than ever, it has become crucial for a product manager to set and manage the anticipations of users, gather measurable feedback frequently, communicate meticulously to engineers, and make sure products logically progress with market shifts.