Hire Software Developers for AI Solutions, but you still need Data Scientists. I see posts lately of folks not needing data scientists for their AI solutions, which is a recipe for failure.
I think with AI solutions today, the breakdown of "who does what" has gotten complicated. Traditionally, DS focused on model builds, monitoring, and analysis. In the GenAI space, model building at the enterprise level is probably not as prevalent. Instead, adapting models is the focus.
I think a lot of teams are struggling with clear delineation of roles/responsibilities. DS could do a lot of model adaptations and monitoring, but I think SWE could as well.
I'd be curious to hear or see what other teams have found helpful in terms of each role's focus and how you structure your teams' and work to accommmodate.
I think with AI solutions today, the breakdown of "who does what" has gotten complicated. Traditionally, DS focused on model builds, monitoring, and analysis. In the GenAI space, model building at the enterprise level is probably not as prevalent. Instead, adapting models is the focus.
I think a lot of teams are struggling with clear delineation of roles/responsibilities. DS could do a lot of model adaptations and monitoring, but I think SWE could as well.
I'd be curious to hear or see what other teams have found helpful in terms of each role's focus and how you structure your teams' and work to accommmodate.