『Tech Disruptors』のカバーアート

Tech Disruptors

Tech Disruptors

著者： Bloomberg
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

 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 個人ファイナンス 経済学
エピソード
  • Box’s Levie, AWS’ Kain on Agentic AI in Finance

    Box’s Levie, AWS’ Kain on Agentic AI in Finance
    2026/04/14
    AI agents are driving more experimentation and early production use cases across enterprise workflows. Box CEO Aaron Levie and AWS Director of Financial Services Market Development John Kain join Bloomberg Intelligence senior software analyst Sunil Rajgopal on this episode of the Tech Disruptors podcast to discuss how financial institutions are applying agentic AI to onboarding, compliance and document-heavy processes. “Agents can only be as effective as the context that they have,” Levie says, while Kain adds, “It’s not to replace the human decision process. It’s to accelerate the human decision process.” The conversation also explores data fragmentation, governance and guardrails, infrastructure-scaling challenges, and why companies remain in the early stages of enterprise-wide transformation.
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    57 分
  • Domino Data Lab CEO on Taking AI to Production

    Domino Data Lab CEO on Taking AI to Production
    2026/04/09
    AI’s expansion into enterprise use is exposing a gap between rapid prototyping and reliable deployment across the organization. Domino Data Lab CEO Nick Elprin joins Bloomberg Intelligence senior software analyst Sunil Rajgopal to discuss how model-driven organizations are putting AI to work in core-business settings, where governance and standardization are essential. As coding assistants enable domain experts to build full-stack analytics applications, “basic SaaS applications are pretty seriously threatened right now,” Elprin says. The conversation also explores why human-in-the-loop systems are still essential and how companies manage fragmentation risks as agentic AI evolves.
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    42 分
  • Intercom Co-Founder on Outcome-Based AI Pricing Model

    Intercom Co-Founder on Outcome-Based AI Pricing Model
    2026/04/07
    “We charged for outcomes with Fin…we’re charging when we did the work properly, and we weren’t charging when we didn’t,” Des Traynor, Intercom’s co-founder and chief strategy officer, tells Anurag Rana, senior technology analyst at Bloomberg Intelligence. In this Tech Disruptors episode, Traynor explains why Intercom chose to cannibalize its seat-based support software as a service to launch an AI agent that targets 60–70% resolution, and why outcome pricing changes everything from product design to unit economics. They also dig into what separates resolution from “deflection,” why most companies shouldn’t self-build support agents, how Intercom mixes models — including its own CX models — to optimize quality/cost and why 2026 is about expanding Fin from support into broader customer-facing roles.
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    48 分
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