Tech Disruptors

Uniphore CEO Umesh Sachdev joins Bloomberg Intelligence analyst Mandeep Singh on this episode of the Tech Disruptors podcast to discuss his company’s platform for developing ontologies compared with the use of forward-deployed engineers (FDEs) by hyperscalers and frontier large-language-model companies. He explores Uniphore’s approach to leveraging small language models for use cases such as claims and billing, as well as the trade-offs with frontier models used for cybersecurity and coding agents.

“So, there are plenty of failure points, and when you have hundreds of thousands or millions of something, something will eventually fail,” Peter Salanki, co-founder and CTO of CoreWeave, tells Bloomberg Intelligence Senior Technology Analyst Anurag Rana. “Instead of throwing out half the potential capacity, we say that we expect some of these to fail. Then we build systems, automation and processes around handling those failures gracefully.” In this episode of Tech Disruptors, the pair discuss why AI infrastructure requires a fundamentally different architecture to traditional CPU-based cloud. Salanki also explains how CoreWeave is addressing training, inference and agentic workloads while navigating token costs, Nvidia chip demand and power constraints.

The governance landscape for AI agents is evolving amid new developments around agentic workflows, says SailPoint President Matt Mills. He joins Bloomberg Intelligence analyst Mandeep Singh on this episode of the Tech Disruptors podcast. The conversation also explores how agentic AI could reshape identity governance, from internal functions and product capabilities to potential shifts in pricing models and customer adoption.

“Source code became almost free, like cheap and not important. And binaries became king because this is the outcome,” says Shlomi Ben Haim, co-founder and CEO of JFrog. Ben Haim joins Bloomberg Intelligence analyst Mandeep Singh in this episode of the Tech Disruptors podcast to discuss the impact of large-language-model coding agents, the challenges of keeping up with model guardrails, and why software supply-chain security and governance are top of mind for modern enterprises. Ben Haim explains how JFrog acts as the infrastructure and control plane for developer workflows, using JFrog Boost, a Model Context Protocol registry and JFrog Curation to help customers optimize token consumption, block malicious packages and automate software governance without compromising speed.

“The minute it worked, we actually started to use smaller models for the things we knew that it worked and see what they could accomplish at a fraction of the price,” says Matt Hicks, CEO of Red Hat, in a discussion with Bloomberg Intelligence Senior Technology Analyst Anurag Rana. In this episode of the Tech Disruptors podcast, the pair discuss Red Hat’s role inside IBM, the durability of hybrid cloud and why OpenShift, virtualization and AI are becoming key growth drivers. Hicks explains how Red Hat is applying AI across engineering and business operations, using smaller models, containers and OpenShift to help customers build more flexible, cost-efficient AI infrastructure.