The B2B Podcast Index
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Topic

Large language models

16 B2B podcast episodes that cover Large language models, ranked by substance score.

  1. #191 - Throwback: UX Lessons from a Decade Researching AI with Jess Holbrook of Microsoft

    Awkward Silences · 2026-06-09

    61 / 100

    This is way before the large language models.

  2. MicroConf Tactics: He Built Two Unicorns. Here’s The Only AI Startup He’d Build in 2026

    MicroConf On Air · 2026-05-20

    59 / 100
  3. What second by second phone data reveals about human attention with Byron Reeves

    The Curiosity Current: A Market Research Podcast · 2026-06-23

    57 / 100

    So that huge volume of generations of knowledge, can we find a way to get a computer to jump into that space of information via these large language models and AI that everyone is talking about, and kind of journey around that space via the prompts that we give it and create a way to predict what people might do based on what they've done for, you know, 100 years as

  4. Line Cook to CISO: Eric Freeman on AI, Access Control, and Why Security Is Just Dinner Prep

    Cybersecurity Ecosystem Show · 2026-05-28

    54 / 100
  5. Illia Polosukhin of NEAR on AI Operating Systems & Blockchain Infrastructure

    The Smart Economy Podcast · 2026-06-04

    52 / 100
  6. Beyond the AI Bubble: What Founders Need to Know Now

    Startup Success · 2026-06-02

    46 / 100

    And the issue with a lot of AI companies is that fundamentally they're at best a service layer over the large language models.

  7. Key Governance Risks in AI Deployments

    Cherry Bekaert: Risk & Cybersecurity · 2025-12-03

    44 / 100

    And as we think about vendor AI and third-party large language models, Morgan, from your perspective, what are the key elements of effective vendor your due diligence for AI systems?

  8. AI Reality in Firms: Andrew Argue | CEO: Instead

    Accounting Voices · 2026-06-22

    42 / 100
  9. Mark Twigg & Rob Agnew: Agentiv-x: Why neurosymbolic AI could transform insurance broking (408)

    InsTech · 2026-05-24

    41 / 100

    The neuro side is what people now mostly associate with large language models, your neural networks that can read large volumes of really unstructured data, spot patterns within it, et cetera.

  10. Mimecast CISO On Why AI Has Become A Cybersecurity Risk

    The Business of Cybersecurity · 2026-06-02

    40 / 100
  11. Lessons From the Front Lines of Building an AI Startup

    Startup Success · 2026-06-16

    40 / 100
  12. Solving Patient Matching in Rare Disease Trials

    P4A Let's Talk Rare: The Life Science Podcast · 2026-04-29

    36 / 100

    You could put a ton of data into one of the large language models and come out with an answer, but if the data is not good or it's not enough or there's not enough to compare it to, the answer is not necessarily going to be the right answer.

  13. The Myth of the Workless Future: Why AI Will Reshape - Not Replace - Human Labor, by Jonathan H. Westover PhD

    Daily Leadership Dialogue · 2025-12-11

    32 / 100

    reported using AI in production processes with Higher rates in information 13.7percent and professional services 9% US Census Bureau however, adoption accelerated sharply following the release of large language models in late 2022 with knowledge workers reporting rapid integration of AI tools into daily workflows.

  14. So What...? AI Won't Fix a Broken Process

    It's not all about the numbers! · 2026-06-09

    26 / 100

    One of the things that I've been sort of reflecting on, around, around artificial intelligence and particularly where people are using large language models to like make do things faster is all that really is, is things that we would, we were doing before with tools just as Mega'd made much, much quicker.

  15. Is Critical Thinking Overrated?

    You in 2042 ... The Future of Work · 2026-04-14

    25 / 100

    over month in the various generative AI components, then perhaps to your point, who is to say that we can actually have more accurate and more consistent decision making, and we can even use various large language models themselves to discern to what your definition was, really ensuring that we can see and ask questions appropriately?

  16. Ban this phrase from every AI marketing keynote

    MarTech Podcast ™ // Marketing + Technology = Business Growth · 2026-06-24

    18 / 100

    Large language models have made a really big difference on what how applicable AI is and the power of it.