Acquire and improve skills
to build and grow products

Product managers often wonder how to approach AI and machine learning. Starting can feel overwhelming, especially for teams new to the field, as building ML solutions requires unique skills and processes.

The key is to start small with a low-risk, manageable project focused on learning. This approach builds foundational capabilities and sets the stage for scaling AI initiatives without disrupting operations.

In this post, I’ll outline my recommendations for starting with ML/AI effectively. 

Products based on generative artificial intelligence have rapidly become a reality over the past years.

Just a few years ago, it was hard to imagine that models could generate images based on text or write essays or poems on a given topic, and do so at a level comparable to humans. Today, millions of people use products based on generative models to solve various problems.