Databricks interview: industrials bought AI, yet margin attribution still takes three weeks—if at all
AnneliesGamble · x · 2026-10-06
An interview with Shiv Trisal, who leads global GTM at Databricks across manufacturing, automotive, transportation & logistics, energy, and utilities, on AI's economics and value gaps in industrial settings.
- A telling anecdote: the CEO of a large industrial company admitted that despite heavy digital-infrastructure investment, understanding what drives the company's margins can take three weeks—"if at all"—because someone still has to manually pull information from different systems and reconstruct what happened.
- The piece examines why AI capability doesn't automatically translate into value in industrials: fragmented data and human bottlenecks leave a gap between capability and business impact.
More from Companies & People
- Kevin Roose's The AGI Chronicles draws on 150 insider interviews across OpenAI, Anthropic, Google — danshipper · 2026-10-06
- Guardian: Altman privatizes AI gains while the public socializes the risks — nordicinst · 2026-10-06
- Huberman: Meta, OpenAI and Anthropic are all becoming biotech companies — Scobleizer · 2026-10-06
- Infor bets enterprise AI should start with process, not chatbots — Velocity grows 250% — shashib · 2026-10-06
- LibreOffice says 'no AI' is now a software feature, citing user privacy — TechCrunch AI · 2026-10-06
- SpaceX pulled off history's biggest IPO in 6 months while OpenAI and Anthropic fumble theirs — PTrubey · 2026-10-06