ABOUT THIS EPISODE
The term "forward deployment engineer" is everywhere right now, Palantir popularized it, Anthropic is leaning into it, and every data and AI platform seems to be packaging it as their answer to the last mile problem. But what is it, really? Michael Wharton, VP of Engineering at Kung Fu AI, joins Sid and Lee to cut through the noise. They dig into where the FDE model works, where it falls short, why process matters more than the individual, and why buying the platform and buying the deployment help are two very distinct purchases. They also get into token maxxing versus quality, the bimodal split happening across engineering teams right now, and why the speedup from agentic coding tools is probably more modest than most leaders think.
English
United States
TRANSCRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
SEARCH PAST EPISODES
Search past episodes of The Data Culture Podcast.
OTHER EPISODES IN THIS PODCAST
Leading complex IT systems in a major city demands more than technical know-how—it requires a shift from individual success to team achievement. Summer Xiao, Deputy CIO of Houston, shares her journey from "I" to "we," discussing the crucial transition from "doer" to "facilitator," the importance of…
Building a data program isn't all about the tech—it's about getting people to actually work together. Carlos Rivero shares what it was really like starting as Virginia's first Chief Data Officer with no team, no budget, and a lot of skeptical agencies. He talks about how he learned to be more of a …
Ever wonder why so many promising tech pilots never make it past the starting line? In this episode, Sid chats with Jonathan Alexander about breaking free from “pilot purgatory” and actually scaling innovation. From cavemen pushing carts with square wheels to global rollouts of cutting-edge solutio…
Data management purity and pragmatism built opposed camps starting in the 1990s, and echoes of those tenants present themselves today in Generative AI. Ontology purists and vector-based engineers appear at opposite ends, but how might we reframe so everyone's in the same picture? Tracy Talbot is a …
State University Systems are frequently impacted by state legislation- from funding to rules, policies, and everything in between. Universities typically operate with streamlined (slim) budgets, busy staff, and with lots of focus on serving students and research. Legislators are similarly busy and …
Disclaimer: The podcast and artwork embedded on this page are from Sid Atkinson and Lee Harper, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
EDIT
Thank you for helping to keep the podcast database up to date.