Author archive for Domino Data Lab, page 3

Doing data science productively is akin to the work of a master craftsman: efficiently producing a quality job is wholly dependent on having a unique set of tools, and a workbench that allows the skilled, systematic use of those tools for a custom finished product.

By Domino Data Lab on June 01, 2021 in Company Updates

Most data science leaders can likely recall an instance where collaboration among a few data scientists ignited a new idea, accelerated the on-boarding of new team members, or helped speed up the development or deployment of new models.

“How do I get business leaders to understand the value we provide?”

Today we launched ‘Data Science Leaders,’ a new podcast series dedicated to helping teams scale the booming practice of data science by documenting and sharing real stories, breakthrough strategies, and critical insights into building a model of enterprise data science success, from those who have done it.

If there’s one thing that data science leaders likely agree on, it’s that there’s no “right” way to organize data science teams as you build out your enterprise strategy to accelerate model velocity.