3 Strategic Mistakes Leaders Can Easily Avoid When Thinking About AI Integration

Several years ago, a product manager at a tech company had a data collection problem: to scrape software security vulnerability data from multiple web sources, consolidate the vulnerabilities and store them in a database.

As this was an automation problem relating to data, the product manager (PM) immediately concluded that this was a machine learning problem. The PM then “hired” the company’s data science team to build ML models to solve the problem. 

The data science team agreed to the data collection task without making any promises on “models.” They realized that their attempts to educate the PM that this was a simple