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Tech Disruptors

Tech Disruptors

By: Bloomberg
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Tech Disruptors by Bloomberg Intelligence features conversations with thought leaders and management teams on disruptive trends. Topics covered in this series include cloud, e-commerce, cybersecurity, AI, 5G, streaming, advertising, EVs, automation, crypto, fintech, AR/VR, metaverse and Web 3.0. This podcast is intended for professional investors only. It is being prepared solely for informational purposes only and does not constitute an offer or investment advice.2022 Bloomberg Economics Personal Finance
Episodes
  • Cerebras After IPO: OpenAI, AWS and Inference

    Cerebras After IPO: OpenAI, AWS and Inference
    May 28 2026
    “OpenAI has only two AI accelerator compute vendors in production today, Cerebras and Nvidia,” Cerebras CEO Andrew Feldman says. Four days after Cerebras went public, Feldman joined Bloomberg Intelligence’s Kunjan Sobhani to discuss the company’s next chapter and the rapidly shifting AI infrastructure landscape. Feldman breaks down the OpenAI deal, the strategic AWS partnership around disaggregated inference and why Cerebras believes fast inference is becoming the industry’s defining battleground. He explains how Cerebras evolved from building the world’s largest chip to operating one of the fastest inference platforms, why disaggregated inference could reshape hyperscale AI deployments and how the company is navigating power, memory and data-center constraints. The episode also explores the competitive landscape beyond GPUs and Feldman’s broader perspective on the next phase of AI compute.
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    43 mins
  • Match Group on Resetting Tinder for AI, Gen Z

    Match Group on Resetting Tinder for AI, Gen Z
    May 26 2026
    Younger users of dating apps want “lower pressure” and “more authentic ways of connecting,” and Tinder’s new products aimed at meeting those needs appear to be aiding Match Group’s turnaround, CFO Steve Bailey says. Bailey joins Bloomberg Intelligence’s Nicole D’Souza on this episode of the Tech Disruptors podcast to discuss how dating-app behavior is changing after the pandemic, why Gen Z women are central to Tinder’s strategy, and how AI, product updates and helping users connect in real life could reshape growth.
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    43 mins
  • AWS Transform VP on Legacy Modernization

    AWS Transform VP on Legacy Modernization
    May 21 2026
    “The more microservices that you have, the more agent-ready you are because you can at least start taking these components, and convert them into agent infrastructure,” says Asa Kalavade, vice president of AWS Transform to Bloomberg Intelligence senior technology analyst Anurag Rana. The pair discuss how agentic AI is accelerating legacy modernization across mainframe, NET, VMware and other enterprise workloads. Kalavade explains how AWS Transform combines deterministic methods with AI to understand old systems, generate modern code and shrink projects that once took years into far shorter timelines, while also making applications more cloud- and agent-ready. She notes that in just one year, AWS Transform has helped customers save more than 1.6 million hours of manual effort and analyze 4.5 billion lines of code as they migrate and modernize applications in the cloud.
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    44 mins
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