Shows
GraphGeeks PodcastGraph Chat: 10 Years of ODSC with Founder Sheamus McGovernIn this episode, Amy Hodler catches up with Sheamus McGovern, the founder of the Open Data Science & AI Conference (ODSC), to celebrate the event's 10th anniversary. They track the evolution of the industry from the "data-centric" roots of 2015 to the current frontier of Agentic AI and GraphRAG.- The AI Evolution: Why ODSC added AI to its name and how the community has shifted from math-first to vibe coding.- Graphs & AI: The vital role of graph technology in providing memory and context for modern AI systems.- The Hallway...
2026-02-1013 min
GraphGeeks PodcastGraph Chat: Multimodal GraphRAG and Agentic Observability with David HughesBryce Merkl Sasaki of G.V() sits down with David Hughes, Solutions Architect for Graph and AI at Enterprise Knowledge, during the Open Data Science Conference (ODSC) in San Francisco.The conversation dives into the cutting edge of connected data, moving beyond the initial hype of Retrieval-Augmented Generation (RAG) to explore how graphs are essential for the next generation of AI.Key Points:Multimodal GraphRAG: David explains the shift from simple associative search to a more robust approach that captures signals from images and audio by integrating knowledge management into the graph.Agentic Solutions...
2026-02-0509 min
GraphGeeks PodcastGraph Chat with Weimo Liu: Querying Petabytes without the ETL HeadacheAmy Hodler of GraphGeeks sits down with Weimo Liu, CEO of PuppyGraph, to discuss how they are changing the graph landscape. Unlike traditional databases, PuppyGraph is a graph engine that queries data directly where it lives—no data movement required. Key Highlights:Zero ETL: Query data lakes and warehouses (SQL, Delta Lake, etc.) as a graph without moving a single byte.Scalability: Designed for petabyte-scale analysis in industries like Cybersecurity, Anti-Fraud, and Healthcare.Simplify Graph-RAG by turning existing tables into a "knowledge brain" for chatbots.Fast Deployment: What used to take six months of data pipelining now takes ju...
2026-01-2915 minGraphGeeks PodcastGraph Chat: The End of Graph Friction with Max LateyFor years, Enterprise Architects viewed graph databases with a mix of curiosity and dread. Between specialist silos, complex ETL pipelines, and infrastructure friction, many chose to stay in the safety of relational tables.Amy Hodler (Founder of GraphGeeks) chats with Max Latey (CEO of Pinboard Consulting) to discuss the shift in how organizations are adopting graph technology.Key Takeaways:Graph on Relational: How tools are allowing EAs to sprinkle graph capabilities over existing stacks without heavy ETL.GraphRAG & LLMs: Why the push for GenAI is making graph technology a must-have for context-rich AI.Data...
2026-01-2015 min
GraphGeeks PodcastGraph Chat: Semantic Systems & The Power of Librarians with Jessica TalismanWhy is modern AI so "unruly"? According to information architect Jessica Talisman, it’s because we’ve over-indexed on data storage and ignored the art of description.In this Graph Chat, Bryce Merkel Sasaki sits down with Jessica (Founder of The Ontology Pipeline) to discuss the bridge between Labeled Property Graphs (LPG) and RDF, the rise of neuro-symbolic AI, and why every tech company needs the perspective of a "Chief Librarian."🔗 Resources:Substack: Intentional ArrangementFramework: The Ontology Pipeline
2026-01-1110 minGraphGeeks PodcastGraph Chat with Chang She, CEO of LanceDBJoin David Hughes (GraphGeeks community) for a Graph Chat with Chang She, CEO and Co-founder of LanceDB, filmed at the ODSC conference.Chang shares groundbreaking insights on how agentic retrieval systems are challenging traditional RAG approaches, requiring much higher throughput and iterative search. The conversation highlights the new Lance Format as the multimodal Lakehouse standard optimized for AI data operations.Most excitingly for the graph community, Chang provides a first introduction on the new open-source project, Lance Graph, which enables storing graph schemas and executing Cypher-like queries directly on Lance tables, integrating vector, tabular, and...
2025-12-1610 min
GraphGeeks PodcastLDBC becomes the Graph Data Council with Henry GabbJoin Amy Hodler of GraphGeeks and Henry Gabb, Chair of the newly renamed Graph Data Council (GDC) (formerly the Linked Data Benchmark Council - LDBC), for a deep dive into the world of vendor-neutral graph benchmarks, standards, and innovation.Hear how the GDC is expanding its focus beyond traditional benchmarks like FinBench and Graphalytics to embrace microbenchmarks, synthetic data generation, and the exciting work being done on LEX schema to potentially unify property graphs and RDF. Learn why many members, including major vendors and researchers, value having a "seat at the table" to shape the future direction...
2025-11-1824 minGraphGeeks PodcastEmerging AI Memory and Graphs with Dave BechbergerAmy Hodler and Dave Bechberger dive into the crucial role of memory in advanced AI systems, especially at the intersection of graphs, knowledge graphs, and generative AI.Dave Bechberger, currently focusing on MCP servers, agentic memory, and semantic data layers, explains that memory is fundamental because standard LLM calls are atomic and lack recollection of prior interactions. An agent without memory lacks continuity for complex user interactions.The discussion breaks down three key types of memory and how graphs apply:Episodic Memory: Transactional details are directly integrated into the context.Short-Term Memory: Session-based interactions...
2025-10-2435 minGraphGeeks PodcastThe Future of Graph, GQL, and AI with Ultipa CEO Ricky SunJoin Amy Hodler and Ricky Sun, CEO and founder of the high-performance graph platform Ultipa, as they explore the current state and future direction of graph technology. The discussion highlights the significance of the new ISO standard GQL (Graph Query Language), which Ricky believes will rapidly accelerate market adoption by providing a common language and preventing vendor lock-in. He also offers a practical view on Graph and AI, arguing that while AI is great for the "first and last mile", high-performance graph computing must handle the critical middle—providing real-time, white-box explainable reasoning for deep, trustworthy insights.
2025-10-1542 minGraphGeeks PodcastPractical Trends in Graphs and AI with Paco NathanIn this episode of the Graph Geeks in Discussion podcast, join host Amy Hodler and special guest Paco Nathan as they unpack the latest trends in AI and graph technology. They dive into insights from recent conferences, highlighting a shift toward practical, programmatic uses of generative AI within the software development lifecycle. Paco explains how companies are moving beyond simple code generation to focus on real-world applications like fault detection and root cause analysis. The conversation also explores the rise of hybrid AI—combining neural networks with symbolic systems like knowledge graphs—to create more efficient and explainable models. Whet...
2025-09-2438 min
GraphGeeks PodcastReal-Life Lessons for Tech Leaders with Denise GosnellIn this discussion with Dr. Denise Gosnell, an entrepreneur, business strategist, and author. Denise shares insights from her impressive career—from a college athlete to a PhD, to leading graph teams at AWS and Datastax—and discusses the inspiration behind her new book, Tech Confidential: An Insider's Playbook for Daring Entrepreneurs. She reveals how the book, structured like an onion with layers on ego, team dynamics, product-market fit, and exit strategies, provides a no-nonsense guide to navigating the tech industry. We also dive into why graph technology hasn't yet gone mainstream and discuss the importance of embracing chaos and havi...
2025-09-1745 min
Super Data Science: ML & AI Podcast with Jon Krohn923: Graph Algorithms, GraphRAG and Causal Graphs, with Graph Guru Amy HodlerGraphs, but not as you would expect them: Graph analytics guru Amy Hodler speaks to Jon Krohn about the graph data structure and graph applications, graph algorithms, graph RAG, and graphs as memory systems for AI agents. We can use graphs in a surprising number of ways. Money laundering and fraud, as well as supply-chain crime, leave breadcrumbs at multiple “touch-points” over time, behaviors that graphs are better suited to reveal than rows and tables. Amy sees that most interest in graphs has been in the cybersecurity space. But this work isn’t only restricted to fighting crime! Listen to the...
2025-09-161h 03
GraphGeeks PodcastAI Readiness with Sumit Pal former Gartner research VPJoin host Amy Hodler and guest Sumit Pal, a former Gartner research VP and current Strategic Technology Director at Graphwise, as they dive into the power of graph technology and its impact on AI. They discuss how graph-based data gives AI the crucial context it needs to deliver better results.In this podcast:How graphs help make data "AI-ready" by resolving quality issues and providing critical context.The difference between what a traditional AI model can do with flat data (what happened) versus what a graph-enhanced model can do (why it happened).Why the future of...
2025-08-0538 min
Knowledge Cast by Enterprise KnowledgeAmy Hodler - Founder & Executive Director of GraphGeeksEnterprise Knowledge COO Joe Hilger speaks with Amy Hodler, Founder and Executive Director of GraphGeeks. GraphGeeks is a global community for data enthusiasts, researchers, and professionals passionate about graph technology.In their conversation, Joe and Amy discuss interesting use cases for graph and graph product innovations, how a graph is like a fungus ("The Last of Us" fans, watch out), trends in the graph space, and how being a "graph geek" can lead to more efficient collaboration.To learn more about Enterprise Knowledge, visit us at: enterprise-knowledge.com.EK's Knowledge Base: https://ent...
2025-07-3026 minGraphGeeks PodcastExploring GraphRAG with Neo4j's Tomaz BratanicJoin us for an insightful discussion with Tomaz Bratanic, Graph ML and GenAI Research expert at Neo4j, as we dive deep into the world of GraphRAG and his newly released book "Essential GraphRAG – a practical guide to combining Knowledge Graphs with Retrieval-Augmented Generation (RAG)" (Manning Publications, co-authored with Oskar Hane).We explore how GraphRAG enhances LLM accuracy by combining the power of knowledge graphs with retrieval-augmented generation, covering everything from vector similarity search to agentic RAG systems. Tomaz also shares his unconventional journey from professional poker player to graph researcher.Key Topics Covered:Th...
2025-07-2430 min
GraphGeeks PodcastGraph-Wide Scanning for CybersecurityJoin Amy Hodler, David Haglin (Rocketgraph), and David Hughes (Enterprise Knowledge) as they explore graph-wide scanning and its role in revolutionizing cybersecurity. Discover how graphs are eliminating blind spots, detecting advanced persistent threats, and transforming how analysts find crucial insights in massive datasets. Learn why traditional methods fall short and how AI integration is key to navigating the colossal scale of cyber data for unprecedented clarity and threat detection.Want to take Rocketgraph for a spin? https://rocketgraph.com/free-trial/
2025-07-2341 min
GraphGeeks PodcastBuilding a Word Game with Graph PathfindingFounder and game designer Michael Douma discusses "In Other Words," a daily word puzzle that uses pathfinding through connected concepts instead of the typical spelling approaches. Players navigate from one word to another through semantic relationships, with millions of possible solutions that tap into how we naturally think about linked ideas.Graph practitioners and ontologists will love this:Real-world application of graph traversal and pathfinding that's fun!Demonstrates how semantic networks can create engaging user experiences beyond traditional data applicationsExplores how people naturally navigate multidimensional concept spaces and associate ideas
2025-06-2618 min
GraphGeeks PodcastMoving from Academia to Commercial GraphsIn this GraphGeeks podcast, Amy Hodler chats with Janet Six, a product manager at Tom Sawyer Software who made the leap from academia to industry in the graph world.Janet relates how she fell in love with what she calls the "beautiful combination of mathematics and art" in laying out graph structures. After pursuing a PhD, she was determined to bring academic research into real-world applications. Despite being warned against studying AI in the 1990s, she followed her passion anyway, and now, thirty years later, we're seeing incredible connections between graphs and AI through LLMs and agentic...
2025-05-2618 min
GraphGeeks PodcastSimplifying Graph Database Adoption with G.V()In this episode of Graph Geeks in Discussion, host Amy Hodler sits down with Arthur Bigeard, founder of G.V(), to explore how his quest for a user-friendly graph database client led to creating a more universal graph experience tool. Arthur shares his journey from graph database novice to tool creator, explaining how G.V() bridges the gap between technical complexity and practical usability across multiple graph database technologies. G.V() website: https://gdotv.com/KGC Conference referenced: https://events.knowledgegraph.tech/
2025-04-2430 min
GraphGeeks PodcastGraphs & GPUs: RAPIDS and cuGraph with NVIDIA's Joe EatonThis podcast episode features host Amy Hodler in conversation with Joe Eaton, NVIDIA Distinguished System Engineer, discussing graph analytics acceleration technologies. This discussion covered:How RAPIDS and cuGraph are changing graph analytics through GPU accelerationTheir innovative approach to scaling NetworkX on GPUs without requiring code modificationsAn exploration of GNNs, graph embeddings, and vector search applicationsWe also looked at current trends in graph technology and their real-world implications. Joe provided pointers to resources (below) for people just getting started as well as his picks for exciting graph-related talk at the upcoming NVIDIA GTC conference.
2025-03-0337 min
GraphGeeks PodcastA Journey from Neo4j to DgraphIn this fun episode of GraphGeeks in Discussion, host Amy Hodler sits down with William Lyon, who is currently heading developer experience at Hypermode and a respected figure in the graph database community. Drawing from his rich experience at Neo4j and Dgraph, Will offers unique insights into the evolving landscape of graph technologies. As a veteran in the graph space, Will shares his personal journey through different graph database architectures and insights on using property graphs and triples for data management. Additional information: https://dgraph.io/ https://hypermode.com/ https://github.com...
2025-02-1942 minGraphGeeks PodcastCapturing Elusive Customer KnowledgeToday's conversation with Claudia Natasia, CEO of Riley, takes us into the fascinating intersection of graph technology and customer behavior. As a data scientist turned product leader, Claudia discovered that the key to unlocking revenue growth was hidden in the complex web of customer data. That insight led her to found a company that's revolutionizing how businesses understand their customers using the power of graph technology. Join us as we explore her journey from data-driven problem solver to innovative tech founder, and learn how companies are uncovering elusive customer insights.
2025-01-2822 minGraphGeeks PodcastGraph and AI Powered Search for Earth DataListen to Amy Hodler interview Jesse Kallman, Founder & CEO at Danti, and Anthony Hylick, their Head of Machine Learning. Learn why Earth-Data is increasingly important today and how Danti uses graphs and AI to power its search engine. https://danti.ai/ Hear how this context-rich search goes beyond geospatial to enable users—from government agencies to private enterprises—to find the precise data they need from the vast, ever-growing datasets collected by satellites, drones, and other sources around the globe.
2024-09-2939 minGraphGeeks PodcastStreaming Graphs for CybersecurityListen to this GraphGeeks podcast to learn about Streaming Graphs for Cybersecurity. Our graph practitioners will appreciate hearing about graph event stream processing, and our cybersecurity listeners will learn how graphs are used to detect complex patterns and advanced persistent threats. Our guests include Paige Roberts, who’s had various roles in her 25 years in software and is currently the Director of Product Innovation for thatDot. Paige has also co-authored and contributed to several O’Reilly books, including “97 Things Every Data Engineer Should Know” and “Accelerate Machine Learning with a Unified Analytics Architecture.”...
2024-08-3044 min
The Connected Data PodcastConnected Data London 2024 Call for Submissions Roundtable | Panel DiscussionConnected Data is coming back to London in 2024, on December 11-13.
Join us for a tour de force in all things Knowledge Graph, Graph Analytics / Al / Data Science / Databases and Semantic Technology.
Call for submissions and volunteers, program committee, chairs, and initial lineup have been announced.
This online roundtable highlights the Connected Data landscape and how it's reflected in our Call for Submissions, while it also goes over the event's format and answers audience questions.
Key topics:
How taxonomy, ontology and knowledge graphs can help GenAI and Large Language Models: Gr...
2024-08-051h 26
GraphGeeks PodcastQuick History of Graph DatabasesListen to Amy Hodler interview Semih Salihoğlu, CEO of Kuzu and professor at the University of Waterloo, to learn about the fascinating history of graphs through the lens of database management systems. In this podcast, Semih walks us through the evolution of systems: from the first database system, IDS, to modern property graph databases, such as Neo4j and Kùzu. You’ll learn about the connections between the birth of the World Wide Web and document-based datasets and document stores, such as MongoDB. Amy and Semish also discuss the flexibility of RDF as a reasoning system...
2024-07-1149 min
GraphGeeks PodcastKnowledge Graph Trends with François ScharffeIn this podcast, we discuss current trends in knowledge graphs with François Scharffe, the CEO of The Data Chefs and co-founder of The Knowledge Graph Conference (KGC). First, François gives us insights into the evolution of KGC and the popularity of using knowledge graphs for RAG (retrieval-augmented generation). Then, we dive into the early indications that knowledge graphs may help bring back rule-/expert-based systems and the possibilities around personal knowledge graphs.https://www.thedatachefs.com/https://www.knowledgegraph.tech/
2024-06-2732 min
GraphGeeks PodcastRDF vs LPG: Jesús Barrasa and Dave BechbergerGraphs are changing how we model, store, and query complex data. But when it comes to choosing the right type of graph model, the decision often boils down to two major contenders: Resource Description Framework (RDF) and Labelled Property Graphs (LPG). Each has its own unique strengths, use cases, and challenges.Join this GraphGeeks talk with experts Jesús Barrasa and Dave Bechberger to better understand these approaches.
2024-06-0750 min
GraphGeeks PodcastMaya Natarajan thoughts on the Graph MarketSneak peek of Maya Natarajan's talk at KGC on graph market.
2024-05-0820 min
GraphGeeks PodcastIndustry Trends: Data, Analytics and GraphsDiscussion with Sanjeev Moham who has been in the data and analytic space for decades. Until recently, he was a Gartner research vice president and has recently returned from several conferences including Google Cloud Next. Sanjeev provides an overview of market trends including some surprise predictions for 2024. Find out more at SanjMo.com
2024-04-1836 min
Data BytesGraph Analytics with Amy HodlerAmy Hodler is the Founder, Graph Evangelist, GraphGeeks
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2024-02-2236 min
Consultants' Consultant14: Amy Hodler: context and connectionsAmy Hodler works for Neo4j. Here’s her Linked in profile. Neo4j specialise in graph...
2022-10-2000 min
Data in ConstructionData Centricity & Knowledge Graphs Amy HodlerFollow Amy hereLearn more about Relational.ai hereMore from Amy:https://techcrunch.com/2022/04/26/relationalai-wants-to-change-the-way-intelligent-apps-are-built/https://youtu.be/ocadAuzfSnE
2022-07-2129 min
Machine Meets WorldNeo4j‘s Amy E. Hodler on Why Bias Isn’t Always BadAmy E. Hodler, Director, Graph Analytics and AI Programs at Neo4j, talks artificial intelligence with James Kotecki, Director of Marketing at Infinia ML.---EPISODE HIGHLIGHTS Striking Examples of AI Failure [5:10] Why Talking to Data Scientists Gives Her Hope [18:44] The Need for a Public Conversation about AI Expectations [20:41] Bias Isn’t Always Bad [24:35]---EMAIL THE SHOWmmw@infiniaml.com.---SEE ALSOAmy Hodler’s Speech on Responsible AI (November 11, 2019) https://www.youtube.com/watch?v=ocadAuzfSnE---Vi...
2020-06-1629 min