GraphGeeks Podcast

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/

This 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.Getting Started with RAPIDS and cuGraphhttps://rapids.ai/Graph Talks at GTChttps://nvda.ws/4bofZ4e

In 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/hypermodeinc/modus Recipes on https://github.com/hypermodeinc/modus-recipes The "the Kleinberg Book" mentioned on Networks, Crowds, and Markets: https://www.cs.cornell.edu/home/kleinber/networks-book/

Today'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.

Listen 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.

Listen 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.”We also have our cybersecurity expert, John Cloonan, who has 25 years of experience deploying security controls, combating network attacks, and bringing new cyber solutions to market. John is now the VP of Product at thatDot.Resources discussed on this podcast:Open source streaming graph quine.io/ The blog on scaling - www.thatdot.com/resource-post/scaling-quine-streaming-graph-to-process-1-million-events-second/The SANS Institute for Cybersecurity Training and Certification - www.sans.org/  

Semih Salihoğlu, CEO of Kuzu and professor at the University of Waterloo, shares insights into the fascinating history of graph databases. He traces their evolution from early systems like IDS to modern architectures such as Neo4j and Kùzu. The conversation illuminates the impact of the World Wide Web on document stores like MongoDB and explores RDF as a flexible reasoning system tied to the semantic web. Semih also discusses the future of graph databases, particularly their integration with AI, emphasizing the importance of explainability and advancements in querying capabilities.

In 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/

Join experts Jesús Barrasa, a seasoned graph data modeler, and Dave Bechberger, a graph database specialist, as they delve into the battle between Resource Description Framework (RDF) and Labelled Property Graphs (LPG). They highlight the strengths and challenges of each model, uncover the significance of semantics and ontologies, and guide listeners on making informed data model choices. To top it off, they explore the exciting future of graph technology, emphasizing its integration with AI and the potential for community growth.

Sneak peek of Maya Natarajan's talk at KGC on graph market.