Subject archive for "collaboration," page 2

Perspective

On Collaboration Between Data Science, Product, and Engineering Teams

Eugene Mandel, Head of Product at Superconductive Health, recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Mandel’s previous leadership roles within data engineering, product, and data science teams at multiple companies provides him with a unique perspective when identifying and addressing potential tension points.

By Ann Spencer35 min read

Data Science

Data Science vs Engineering: Tension Points

This blog post provides highlights and a full written transcript from the panel, “Data Science Versus Engineering: Does It Really Have To Be This Way?” with Amy Heineike, Paco Nathan, and Pete Warden at Domino HQ. Topics discussed include the current state of collaboration around building and deploying models, tension points that potentially arise, as well as practical advice on how to address these tension points.

By Ann Spencer99 min read

Data Science

Data Science vs Engineering: Tension Points

This blog post provides highlights and a full written transcript from the panel, “Data Science Versus Engineering: Does It Really Have To Be This Way?” with Amy Heineike, Paco Nathan, and Pete Warden at Domino HQ. Topics discussed include the current state of collaboration around building and deploying models, tension points that potentially arise, as well as practical advice on how to address these tension points.

By Ann Spencer99 min read

Perspective

Collaboration Between Data Science and Data Engineering: True or False?

This blog post includes candid insights about addressing tension points that arise when people collaborate on developing and deploying models. Domino’s Head of Content sat down with Don Miner and Marshall Presser to discuss the state of collaboration between data science and data engineering. The blog post provides distilled insights, audio clips, excerpted quotes as well as the full audio and written transcript. Additional content on this topic will be forthcoming from additional industry experts.

By Domino32 min read

Data Science

Domino Honored to Be Named Visionary in Gartner Magic Quadrant

The team at Domino is proud to be named a Visionary for the second year in a row in Gartner’s Magic Quadrant for Data Science and Machine Learning Platforms. It is exciting to see that companies and industry analysts are increasingly realizing the value of a data science platform, and we’re honored to be recognized. It was particularly gratifying to hear feedback from our customers synthesized and channeled through Gartner’s report.

By Mac Steele3 min read

Data Science

Domino for Good: Collaboration, Reproducibility, and Openness, in the Service of Societal Benefit

When I joined Domino Data Lab to lead the Domino for Good initiative a few months ago, it felt like the perfect next step on a path I have been on for a long time.

By Lisa Green6 min read

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