Tech Disruptors

“When you talk about inferencing, you have a real application. The application has data. The application has compute. The application needs to interface with other third-party applications. So, you need a full general-purpose cloud to coexist with a GPU cloud to power inferencing application at scale,” DigitalOcean CEO Paddy Srinivasan tells Bloomberg Intelligence senior technology analyst Anurag Rana. In this episode of Tech Disruptors, the two discuss DigitalOcean’s edge as a digitally-native cloud service provider in a market served largely by the three hyperscalers. In this conversation, Srinivasan also touches upon the company’s differentiated approach to capital spending, AI inferencing vs. training and which pockets still have a good growth runway.

Generative AI has changed how humans and systems interact, and the science of human-computer interaction is now really the science of human-AI interaction, says Motorola Solutions EVP & CTO Mahesh Saptharishi. He joins Bloomberg Intelligence tech analyst Woo Jin Ho on this episode of the Tech Disruptors podcast to share how his company is building AI into its hardware and software to unlock new capabilities, while putting guardrails in place to ensure responsible use. Its AI for public safety, Assist, is designed to boost productivity and bring automation, situational awareness and real-time insights to first responders, where every second matters.

“Agent-to-agent interactions are very different than traditional system-to-system interactions, and so there’s a huge uplift we’re thinking about today that we need to be there to get to that truly agentic autonomous world,” says Lori Beer, chief information officer of JPMorgan Chase. In this episode of Tech Disruptors, Beer sits down with Bloomberg Intelligence senior banking analyst and research director Alison Williams and BI senior technology analyst Anurag Rana to discuss technology progress and the challenges facing the global financial institution. This episode covers the ways JPMorgan is pursuing automation and AI while taking into consideration aspects such as cloud vs. on premise, cybersecurity and buy vs. build.

“How do you move the industry from what I call attack surface management to risk surface management?” Qualys CEO Sumedh Thakar asks Bloomberg Intelligence’s senior technology analyst, Mandeep Singh. “Just because something is attackable doesn’t mean that it actually has a risk of a loss to you.” In this episode of Tech Disruptors, Thakar and Singh sit down to discuss Qualys’ history in vulnerability management, the transition of the virtual-machine sector to more comprehensive risk-management solutions, competitive dynamics and the impact of AI and large language models on cybersecurity.

“We want every layer — chip, system, software — because when you own the stack you can outrun a GPU cluster by 40-70x,” Cerebras CEO Andrew Feldman says. In this episode of Tech Disruptors, Cerebras returns to the Bloomberg Intelligence podcast studios as Feldman joins Bloomberg Intelligence’s Kunjan Sobhani and Mandeep Singh to explain the progress from “biggest chip” to “fastest inference cloud.” Feldman unpacks the WSE-3 upgrade, six new data-center builds and fresh Meta and IBM deals that aim to deliver sub-second answers at a fraction of GPU cost, plus Feldman’s views on scaling laws, synthetic data and the looming power crunch.