GraphGeeks Podcast

In 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 having a coach, reminding listeners that you should never try to succeed alone.

Playbook and resources: https://www.techconfidential.ai/

Join 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 AI might be in smarter, more domain-specific Small Language Models (SLMs) rather than just massive LLMs.
• How Graph RAG can dramatically improve AI outputs.

Follow up with Graphwise on https://graphwise.ai/.

Join 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:

• The importance of incorporating more than just unstructured text
• Advanced retrieval strategies and Text2Cypher generation
• Building knowledge graphs with LLMs and Microsoft's GraphRAG approach

Resources:

📘 Free eBook from Neo4j: https://neo4j.com/essential-graphrag/

Join 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/

Founder 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 applications
• Explores how people naturally navigate multidimensional concept spaces and associate ideas

In 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 workflows.

We also get to hear how Janet, as a former competitive roller skater, sees her current product management work as "choreography" - dancing between customer needs, business requirements, and technology constraints while working within deadlines and real-world limitations.

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 acceleration
• Their innovative approach to scaling NetworkX on GPUs without requiring code modifications
• An exploration of GNNs, graph embeddings, and vector search applications

We 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 cuGraph

https://rapids.ai/

Graph Talks at GTC

https://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.