Subject archive for "perspective," page 6

There’s a lot of momentum right now with machine learning (ML) and artificial intelligence (AI), and we have an opportunity to do something exceptional: build products and solutions that make a real difference in our industries and our world.

As a data science practitioner, you are acutely aware of how machine learning models can fuel business success.

To build or not build. That is the question.

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?”