Enterprise Adoption

topic on 5 shows · 6 statements across 6 episodes

More or Less Masters of Scale No Priors the MAD Podcast 20VC

6 statements about Enterprise Adoption, every show

MAD Opinion
Trojanowski: Enterprise agents need process reliability, not 'Move 37' breakthroughs
“And so the thing that you know, someone is buying from us is not, this will be the best ever tax return. They're buying that, you know, the confidence... They're buying that it's going to be consistent and reliable and something that they can trust that actual…”
Mitch Trojanowski Aug 5, 2026 ▶ 49:24 How to Build Autonomous, Long-Horizon AI Agents | Basis
Krishna: Use AI where errors do not require undoing massive work
“I think that you should try to use AI in a case where you're not going to have to go undo six months of work or undo having spent hundreds of millions.”
Arvind Krishna Jun 23, 2026 ▶ 15:11 IBM's $10 billion bet on what comes after AI (with CEO Arvind Krishna) | Masters of Scale
20VC Prediction Not checkable as stated
Kolter: Enterprise cloud LLM adoption will mimic cloud storage migration
“This is not in certain use cases, any riskier than just having your data in the cloud to begin with, which all of them typically do. They've all moved that way. So I think this will just happen naturally with progression of time.”
Zico Kolter Sep 4, 2024 ▶ 25:59 Zico Kolter: OpenAI's Newest Board Member on The Biggest Questions and Concerns in AI Safety | E1197 · 20VC with Harry Stebbings
MORE OR LESS Prediction Not checkable as stated
Gil: Big Wave of Enterprise AI Is Two to Three Years Away
“And I think from that is this under overhyped perspective, one could argue this is very under hyped in part because there's been so little true enterprise adoption. But despite that, you're seeing these massive waves of revenue and usage and everything else, a…”
Elad Gil Jun 21, 2024 ▶ 3:55 #52: Elad Gil on What to Build in AI (Part II) · More or Less Podcast
MAD Insight
Model transparency and research drive enterprise AI adoption
“More transparency we can create also around, you know, how models have been trained, You know, the more research we have around the model, of course, the more trust it creates and easier it is for companies to adopt.”
Milos Rusic Sep 6, 2023 ▶ 14:40 From NLP Start-Up to Generative-AI Platform: Milos Rusic (deepset) Unpacks Product-Market Fit
NO PRIORS Assertion Not checkable as stated
Gil: Enterprise adoption of generative AI at scale is close to zero
“And so we've had zero real enterprise adoption in terms of real products at scale or close to zero.”
Elad Gil Aug 10, 2023 ▶ 9:06 No Priors Ep. 27 | With Sarah Guo & Elad Gil

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