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Data Science and the Balanced Team

Today, many software organizations are racing to incorporate data science, machine learning, and artificial intelligence (AI) into their portfolios. But even after amassing technical expertise and infrastructure, they encounter another type of challenge: how to incorporate data science into their existing processes, teams, and culture.

For several years, VMware Tanzu Labs has been experimenting with folding data science into the balanced team model, and has developed effective approaches to breaking down silos between engineering and data science teams, as well as introducing agility and lean thinking into data science workflows. From user testing to backlog management to pair programming, in this playbook you’ll find our advice for effective ways to bring this capability—and the humans who drive it—closer into your fold.

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