Building an AI-Native Product
Understanding what it takes to manage an AI program is a prerequisite of AI product management. Now that we’ve covered the basics of that in Part 1, we can move on to contextualize the output of that AI program when building products natively with AI.
This part consists of six chapters addressing the various relevant areas when going to market with a new product built with AI from the very beginning. We will cover the basics of creating an AI-native product, productizing the AI/ML service that powers it, positioning that product for various groups, AI/ML options you can take when building, and how that all relates to performance benchmarking, costs, and growth. We’ll understand both the tactical and strategic considerations of designing, launching and managing an AI-native product by the end of this part. We will contextualize all these concepts with the help of a case study that will span all the chapters in this part.
This part...
