·S1 E3

Why do AI Buildouts Fail? with Skylar Roebuck

August 19

26 mins

Episode Description

Skylar Roebuck, CTO of Solvd and self-proclaimed serial entrepreneur with the receipts to back it up, sits down with host Bradd Busick to talk about what he calls the “last mile” of AI engineering: making ambition align with infrastructure reality. They bite into one of the toughest questions facing industry right now to get to the bottom of why AI proof-of-concepts that seem to work perfectly as a demo crash and burn when they’re rolled out at scale.

Skylar explains that the problem most people run into with AI is treating it like a tech project, when in reality successful integration relies on organizational change efforts to embed the “how” into the “what”. They discuss the need to weave agents across all business units into the very fabric of the way things get done, how weak infrastructure and unclear value beyond cost-cutting contribute to the all-too-common story of AI buildouts failing, and why slow movers are facing an existential risk - while fast movers are contending with an ever-increasing demand for agility.

Tune in to hear Skylar’s recommendations on why keeping a diversified AI portfolio is the best option for quick wins, steady bets, and game-changing ideas that go beyond “random acts of AI”.

Highlights:

6:06 How many AI buildouts are really failing?

13:40 What does AI actually cost?

16:30 What’s at risk if you’re slow to the ball on AI?

21:24 How can you make your AI buildout successful?

Links:

Park Place Technologies: https://www.parkplacetechnologies.com/

The Savvy CIO podcast page: https://www.parkplacetechnologies.com/the-savvy-cio/

Bradd Busick: https://www.linkedin.com/in/bbusick/

Skylar Roebuck: https://www.linkedin.com/company/solvdinc/

Facebook: https://www.facebook.com/ParkPlaceTech

LinkedIn: https://www.linkedin.com/company/park-place-technologies/