AI requires process and skills and not just tech. Indicium CEO Matheus Dellagnelo explains why

AI innovations are getting all of the attention these days. But behind the scenes, enterprises are realizing the need to create and manage quality data systems to drive AI processes. Vendors have been championing a bevy of tools to support knowledge graphs, vector data, and management, which can help.

However, equally important will be efforts to train the humans to select these tools and establish effective data practices for the AI age. I recently caught up with Matheus Dellagnelo, co-founder and CEO of Indicium, an AI and data services consultancy, about the lessons he has learned in helping enterprises along this journey.

During his early career as a materials engineer for a sporting goods company, he discovered that data was becoming increasingly central to all aspects of business operations. He pursued a master’s in data science at the University of Southern California and decided to apply the then-mostly academic ...