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Knowledge graphs

A guide to the best B2B podcast coverage of Knowledge graphs - the shows and 29 episodes that go deepest, ranked by substance, not downloads.

Knowledge graphs are emerging as a critical infrastructure layer for enterprise AI systems, enabling the context and structured data that autonomous agents and observability platforms require to function effectively. Episodes spanning Grafana's AI-native observability approach, context-driven enterprise AI strategy, and agentic systems across capital markets, RevOps, and supply chain operations show how organizations are using knowledge graphs to move beyond isolated AI implementations toward integrated decision-making systems that connect sales, support, and operational data.

Best shows on Knowledge graphs

Best episodes on Knowledge graphs

  1. Breaking Data Silos: AI-Ready Data Strategies with Nishith Trivedi, Enterprise Data Governance and Global MDM Lead at Pfizer

    Data Hurdles · 2025-03-17

    86 / 100

    It's ontologies, knowledge graphs, [00:03:00] reference data management, metadata management, data stewardship, and then data governance councils.

  2. Why the Future of Accounting Firm Marketing Is a Living Website, Not More Content

    The Growth Minded Accountant · 2026-08-26

    80 / 100

    Companies like YEXT used to call them knowledge graphs and basically think of it as like painting a picture about your firm.

  3. The Checklist Your Deck Is Missing ft. Jeff McMillan

    Invisible Machines podcast by UX Magazine · 2026-06-18

    77 / 100

    But that's where you apply knowledge graphs and rag infrastructures.

  4. Why Great AI Solutions Start with Listening: Navigating the Data Quality Crisis with Joe Reis Part 2

    Bringing Data and AI to Life · 2026-07-23

    77 / 100

    And what's interesting now is graphs like knowledge graphs and semantics, all these ontologies and taxonomies, these are all the words that are entering the zeitgeist in the data world.

  5. Grafana’s Approach to AI-Native Observability

    Software Engineering Daily · 2026-07-02

    74 / 100
  6. From Models to Momentum: Uniting Architects and Engineers with ER/Studio

    Data Engineering Podcast · 2026-03-02

    72 / 100
  7. How Avantos positioned against CRM by calling itself an operating system for client management - and why buyers got it immediately | Bassam Chaptini

    Fintech Builders · 2026-05-29

    70 / 100
  8. When AI Meets Sales, Support & Supply Chain: Omnae & Bardin AI

    AI Across The Product Lifecycle Podcast · 2026-05-28

    70 / 100
  9. How to Sell AI SEO Services to Clients

    Agency Growth Series · 2025-11-13

    70 / 100
  10. Agentic Approaches to Capital Markets

    Next in Tech · 2026-06-16

    69 / 100
  11. From Local Giants to Global Leaders: Scaling EdTech to the World

    ASU+GSV Summit Sessions · 2026-05-06

    69 / 100
  12. Beyond RAG: Building Production-Grade AI Coworkers for the Enterprise (feat. Karl Simon)

    Software Development, Finance and AI · 2026-05-21

    69 / 100
  13. Why AI Builders Need a Metadata Goldmine with Chris Aberger, VP at Alation

    Data Radicals · 2025-06-18

    68 / 100
  14. The Operator's Roadmap for AI in 2026 - Lily Luo

    RevOps FM · 2026-01-09

    67 / 100

    Atlas uses knowledge graphs.

  15. The Data Foundation for AI: Daniel Cohen-Dumani of Experio AI on Balancing Centralization, Governance, and Agility

    Evolving the Enterprise · 2026-02-03

    60 / 100

    And at the heart of xpo we use knowledge graphs.

  16. #82 - Data-driven LP investing with Jake Kupperman (Principal @ Level VC)

    Confluence.VC · 2023-03-15

    59 / 100
  17. The three things a RevOps leader can operationalize with AI right now. With Lolita Trachtengerts

    RevOps Unboxed · 2026-06-02

    58 / 100
  18. DM Radio Live from Accelerate: Why Context Is the Missing Link for Enterprise AI

    DM Radio · 2026-07-01

    58 / 100
  19. Inverted Podcast #21: AI Regulations & Humans in the Loop

    The Inverted Podcast · 2026-04-30

    55 / 100
  20. The debt crisis: AI edition

    Content Operations · 2026-07-13

    53 / 100

    Knowledge graphs can also be part of this solution.

  21. Top 10 Personal Knowledge Management and Research Workflow Agents

    Agentic AI at Work: The Future of Workflow Automation · 2026-08-30

    50 / 100

    Graph and structured capture, TANNA Outliner is built around nodes, super tags, references, daily notes, search nodes, structured fields, knowledge graphs, voice capture, markdown and JavaScript object notation exports.

  22. What I'd Do As a Junior Candidate in Mid-2026. Freestyle Fridays (June 26, 2026)

    The Joe Reis Show · 2026-06-26

    49 / 100
  23. 6th YEAR SEASON FINALE: Juan and Tim Rant

    Catalog & Cocktails · 2026-05-29

    39 / 100

    He has been somebody who's done so much experience on, like, implementing ontologies and knowledge graphs, uh, inside the organization and had so much success around this stuff.

  24. 2024.04 - Chatbots and Companions: How LLMs are Changing Human-Computer Interaction

    The Data Beat Podcast · 2024-01-22

    32 / 100
  25. 2 Problems with Scaling Agentic AI (281)

    The Tech Strategy Podcast · 2026-04-21

    11:14 But they also kind of need shared knowledge graphs and they need sort of shared data resources that everyone agrees you can't mix that up.

  26. 141 - What AI Thinks About You - Dixon Jones Reveals What ChatGPT Really Knows About Your Brand

    SEOLeverage · 2025-05-30

  27. Structured Thinking for Unstructured Data: A Conversation with Founder Kirk Marple

    Prodity: Product by Design · 2025-04-10

    But then I mean we also have this knowledge graph, um, data model that we've had from day one and now it's becoming more, I mean kind of more accessible where you can build those knowledge graphs using LLMs and gather more than just terms.

  28. Inside Insights: SAP's Enterprise-First Approach to AI with Andrea Haupfear

    Tech-Driven Business · 2025-12-12

    So looking at, and I mentioned this as well, like business data cloud from looking at semantics and lineage, but also looking at retrieval methods, so vector engines and knowledge graphs.

  29. Ask Anything, Solve Everything with Altair

    DATAcated On Air · 2024-10-22

    So yeah, Cambridge semantics is really all around knowledge graphs and um, giving data what I would say call like a semantic meaning.