According to our research, most product teams follow a framework and a structured process for evaluating ML issues. In this article, we share the four most important of these studies.
How product managers determine the usage scenarios for machine learning
When it comes to machine learning, it's important to find the next problem to solve. Data scientists and ML engineers have limited resources. Choosing the wrong project for your team is not only costly, but it also undermines morale, customer trust, and product failure.