S.SHIMODA

The Forward Deployed Engineer

AI works. The question is whether the team that bought it has ever sat at the workstation that's supposed to use it. The Last Mile is a podcast about the hardest part of enterprise AI — the gap between a generalizable model and the messy reality of a specific customer's operations. Frameworks, war stories, and the economics of making deployments actually land.

Autor

S.SHIMODA

Kategorie

Technology

Podcast-Website

podcasters.spotify.com

Neueste Folge

10. Jul 2026

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Customer Discovery and the Messy Reality (Solving the "Weird Tuesday" Problem) 10.07.2026

In this episode, we dive into Chapter 7 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda [1, 2]. We explore the crucial first two weeks of an FDE engagement, known as the discovery phase, and why compressing this timeline to rush into building is a costly mistake that leads to failed deployments [2, 3]. Tune in as we break down the three concrete outputs...

The Soft Stack (Why Diplomacy is a Technical Skill) 09.07.2026

In this episode, we unpack Chapter 6 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda [1, 2]. We explore why the FDE role is the single function in the AI industry where "soft skills" often outweigh technical skills as a predictor of long-term success [3]. We push back on the idea that soft skills are just vague, innate traits [4]. Instead, we reframe th...

The AI and Agentic Frontier (Moving Beyond Chatbots) 08.07.2026

In this episode, we dive into Chapter 5 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda [1]. We explore the rapidly shifting technological landscape of enterprise AI and why the skills that produced a competent chatbot in 2023 will produce a brittle, failing deployment in 2026 [2, 3]. We break down the critical shift from passive, conversational chatbot...

The Technical Bar (Why FDEs Are the Ultimate Escalation) 07.07.2026

In this episode, we unpack Chapter 4 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda. We explore why an FDE must be, first and last, an engineer—and why their technical bar actually needs to be higher than a comparable platform engineer [1, 2]. Unlike Solutions Architects or Customer Success Managers, FDEs have no technical fallback. When an integration...

Where the FDE Sits in the Org (Avoiding the Classification Mistake) 25.05.2026

In this episode, we unpack Chapter 3 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda. We explore why the first decision a company makes about its Forward Deployed Engineering (FDE) function is almost always wrong, a phenomenon Shimoda calls the "Classification Mistake" We break down the common traps of placing FDEs in the wrong reporting structure [3]....

The Last-Mile Problem in Enterprise AI 25.05.2026

In this episode, we dive into Chapter 2 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda. We explore the concept of the "last mile"—a term borrowed from telecommunications and logistics to describe the hardest, most expensive part of a deployment. You will discover why, contrary to popular belief, AI actually makes this last mile longer and explodes the...

What is a Forward Deployed Engineer? (The Operator's Contradiction) 25.05.2026

In this episode, we dive into Chapter 1 of The Forward Deployed Engineer: Architecting the Last Mile of Enterprise AI by Sho Shimoda. We explore the "Operator's Contradiction"—the paradox where operations-heavy businesses, like BPOs, are threatened by AI, yet possess the exact operational knowledge required to successfully deploy it. We trace the origins of the FDE role back to Palantir's "Delta"...

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