Tech Disruptors

The chip design industry continues to push the frontier of semiconductor power, performance and area. On this episode of the Tech Disruptors podcast, Synopsys Vice President of AI and Machine Learning Thomas Andersen discusses the evolution of the company’s AI portfolio. He joins Bloomberg Intelligence analyst Niraj Patel to explain how Synopsys progressed from leveraging AI through reinforcement learning across design, verification and test workflows to introducing AgentEngineer, a multi-agent AI-orchestrated workflow. Andersen also discusses the intersection of simulation and electronic design automation (EDA), the role of humans in the loop for chip design, AI’s current shortcomings, the pace of AI-tool adoption, the industry’s path beyond Moore’s law and much more.

In this episode IOWN Global Forum board members Chris Wright (Chief Technology Officer and Senior Vice President of Global Engineering, Red Hat) and Jefferson Wang (Chief Strategy & Innovation Officer, Cloud, Accenture) talk through the accelerating shift towards photonics-based networks and how this next-generation technology can help unlock the full potential of the AI economy.

Replacing electrical-based connectivity with optics promises to drastically increase processing speeds, reduce latency, and lower power consumption for high-demand AI, cloud computing, and financial networks.

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.