Summary
This chapter concludes Part 1 of this book. We started with an introduction to AI and the infrastructure required to support it, went into the weeds of model maintenance and the particulars of ML and deep learning, saw a mix of applications and business model examples of AI products, and concluded with a glimpse into where AI is going next. We saw how AI can transform products by enhancing decision making, automating processes, and personalizing user experiences. To achieve this, PMs need to think about how their products best create value and how AI can maximize that value. While AI can leverage large datasets to demonstrate the effectiveness of products and policies, PMs must be aware of how bias and ethical considerations should be handled in their products to avoid controversy. Products across sectors are also susceptible to an evolving landscape of regulatory requirements. This was by far not an exhaustive list in terms of the future of AI, but I believe it’s representative...
