“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. 

“What we’re finding is that greater customer experience is particularly critical when you have more uncertainty in any particular market,” explains Qualtrics CEO Zig Serafin to Bloomberg Intelligence senior technology analyst Anurag Rana, “What’s interesting is if you hone in on understating what drives your customer behavior, that usually brings more stability to uncertainty.” In this episode of Tech Disruptors, Serafin and Rana sit down to discuss Qualtrics’ history in customer experience (CX), autonomous AI agents in CX, and the data that underpins its AI-use cases.

From Microsoft to GitHub and now Google, Ryan J. Salva, who leads product management for developer tools and operations at Google Cloud, has spent over 20 years working in software development. He sits down with Bloomberg Intelligence senior analyst Mandeep Singh to discuss the evolution of coding agents, Google’s coding assistant and how the new tools and capabilities could make it easy to migrate old code and change developers’ workflows.

Since last year, Google has had 40x growth in Gemini use on its Vertex AI platform, highlighting the pace of demand in AI, says Will Grannis, chief technology officer of Google Cloud. In this episode of Tech Disruptors, Grannis sits down with Bloomberg Intelligence senior analyst Mandeep Singh to talk about the variety of use cases with large-language-model deployments. They discuss the company’s Ironwood TPU launch to give an end-to-end stack perspective around inferencing workloads, and what it means for cloud demand.

“The average knowledge worker is interrupted every two minutes during work hours,” according to Microsoft Chief Marketing Officer Jared Spataro. “You’re getting an email, a meeting kind of request, a chat coming in, and if you do the math, that’s 275 times a day.” On this episode of Tech Disruptors, Spataro joins Bloomberg Intelligence Senior Technology Analyst Anurag Rana to discuss emerging trends in the way employees work and how AI is already changing the game. The two define the “Frontier Firm” and discuss why this is a big year for such organizations. They also talk about the introduction of new research and analyst AI agents and the future of head count and staffing needs.

Helping small businesses manage all things human resources — payroll, benefits, tax compliance and employee onboarding — is Gusto’s central focus, which presents unique challenges given the fragmented customer base. Chief Technology Officer Mike Tria outlines the company’s product-portfolio suite and the evolution of the human-capital management industry over the past 10 years from a technology angle. In this Tech Disruptors podcast episode, BI analyst Niraj Patel sits down with Tria to discuss Gusto’s appeal across small and medium-sized business (SMBs), the leverage of its technology infrastructure (Ruby on Rails) to scale up for asynchronous workloads, the software ecosystem, its “Gus” AI solution and more.