Productizing the ML Service
In Chapter 6, we briefly touched upon the notion of productizing and what that means for AI outputs in the Productizing AI-powered outputs – how AI product management is different section. We will be expanding on that concept in this chapter by exploring the trials and tribulations that may come up when building an AI product. Rather than thinking of AI products as traditional software products, it helps to think of them as a service that you’re learning to productize. What this refers to is the ability to create a consistent workflow that you can rely on to deliver consistent results in the way traditional products demand.
We will be going more in depth into product management principles and aligning them to the idiosyncrasies of AI/ML services.
By the end of this chapter, we will have an understanding of the following topics:
- Understanding the differences between AI and traditional software products
- B2B versus B2C –...
