Episode summary
Live at the Pure Accelerate Summit in Las Vegas | Bloomberg Businessweek
Bloomberg Businessweek Daily
· · 48 min · Hosts: Carol Massar, Tim Stenovec · Guests: Rob Lee, Shawn Rosemarin, Pradeep Bandaru, Chadd Kenney, Tarek Robbiati, Michael Cardaci
Summary
The discussion centered on how AI is changing enterprise storage, data infrastructure, and the economics of cloud buildouts. Everpure executives argued that the market has moved from experimenting with AI to demanding real ROI, lower latency, and production-grade systems that can support agents, workflows, and real-time decisions. A recurring theme was that data, not applications, is becoming the center of the architecture, and that companies need shared context, governance, and storage platforms that can work across silos.
A guest from Sanofi described using Everpure for foundational data and AI infrastructure in labs and manufacturing, with the goal of capturing telemetry at the source and building a repeatable production AI model. The guest said AI is already speeding up drug discovery, with the payoff showing up in faster time to science and a shorter path from years to months. Another guest from Everpure said customers are increasingly focused on TCO, security, and a “flight for quality” as prices rise.
The CFO said the industry is in a capex supercycle driven by hyperscalers, estimating about $3 trillion of spend over the next 3 years and saying the supply-demand imbalance should persist into the first half of calendar year 2027. A compliance-focused guest said government adoption is moving faster than before but still lags commercial speed, especially where sovereign data, security, and regulated workflows are concerned.
Key takeaways
- Everpure executives said enterprise buyers are shifting from AI experimentation to asking for measurable ROI, lower latency, and production-scale workflows.
- The guest from Sanofi said AI infrastructure is being built around lab and manufacturing data to speed up science and improve reproducibility.
- The CFO said the AI capex cycle is still strong, estimating about $3 trillion of hyperscaler spend over the next 3 years and tight supply through first-half 2027.
- Everpure said customers want governance across shared data, not disconnected agents linked directly to every app.
- The compliance guest said government AI adoption is accelerating, but security, sovereignty, and PII constraints remain major brakes.
Notable quotes
“we're going to with Everactive for foundational data and AI infrastructure, particularly in our labs and manufacturing sites”
“We're now seeing, you know, taking those solutions, those prototypes, what we've built, and now taking those to delivery at scale, production at scale”
“the government requires everything to be inside of a boundary, right? Like you have a playground and you can do everything in the playground, but nothing can leak out”
How the episode opens
Bloomberg Audio Studios. Podcasts, radio, news. This is Bloomberg Business Week Daily, reporting from the magazine that helps global leaders stay ahead with insight on the people, companies, and trends shaping today's complex economy. Plus, global business, finance, and tech news as it happens. The Bloomberg Business Week Daily podcast with Carol Massar and Tim Stenovec on Bloomberg Radio.
Rob Lee is chief technology and growth officer at Everpure. He was an architect at Oracle. He focused on large-scale distributed a distributed data management systems and he joins us right here in Vegas.
Hello, hello. Great to have you here with us. Um Yeah, the AI narrative story, it has evolved over the last 3 years.
And we just talked with um your CEO uh about how the shift from kind of app-centric to data-centric. Talk to us a little bit about when you are talking with clients and customers, what is it that they are most concerned about?
Well, thanks for having me. Uh great to have you guys here as well. Uh look, I think the AI narrative definitely has shifted over the last 3 years.
It's probably shifted quite a bit over the last 3 months uh even. Uh when I'm out speaking with uh clients and and customers, I would say the biggest uh driver in their minds is uh hey, AI uh technology is uh great. It uh has a lot of promise, a lot of hopes and aspirations.
Connecting that then to uh reality and results and ROI, I think that's now dominating uh the discussion especially in the enterprise.
Is it holding them back from spending maybe even a little bit like like let me let me see how this is going to impact before I kind of move forward.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- ai workflows
- enterprise technology
- platforms
- research and development
- fintech
Companies and tickers mentioned
- SNY
- Everpure
- Sanofi
- FedHIVE
Watch the episode
Watch “Live at the Pure Accelerate Summit in Las Vegas | Bloomberg Businessweek” on YouTube
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
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