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Martin Chesbrough's avatar

I’m going to argue that what is important is not for “Data & AI” practitioners to thrive, but for their work to be well integrated and for them to collaborate well within the organisation. Over the course of my career “AI” has drastically changed. As a newbie out of university people that understood neural nets were regarded as distinctly “odd”, by the mid 2000s that had changed to “we need more data scientists”. Today I think we are well on the way to seeing ML skills as just another skill set to integrate into your team.

Just as we have evolved from having teams of front-end and back-end engineers to integrating all skills, including UX, into our product teams. So we are also evolving to including ML, AI skills into our teams. It is just the way you need to develop compelling products.

Sure we might need a team dedicated to building a new model (a complicated subsystem team in TeamTopologies language) that serves the main product. But I think our thinking has evolved. I dont see “data & AI” skills as anything special. They are equal members of the team.

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