GraphGeeks Podcast

Amy Hodler takes a moment with Paco Nathan (Senzing) at the Open Data Science Conference (ODSC) to chat about the shift happening in Graphs and AI. From packed tutorial rooms to hallway conversations, graphs are no longer just for academics—they are driving real-world business cases. Paco breaks down his ODSC workshop on entity resolution, and combining graph algorithms with vector stores. Key Tak...

In this Graph Chat, Amy Hodler catches up with graph expert and consultant Clair Sullivan at the Open Data Science Conference to talk about Entity Resolution, GraphRAG, and catching fraud. Learn how concepts that used to be highly niche—like ontologies, semantics, and context graphs—are now entering mainstream tech workflows. And hear why we need to stop "vibe coding" everything and use kn...

Listen to a quick hallway at the Open Data Science Conference (ODSC) with Amy Hodler and Daniell Stevens, Product Analytics at Adobe. In this impromptu conversation, Dan shares his takeaways from the conference, including a trick for using SQL to bridge the definition gap between data science and engineering teams. We also dive into his personal history with graph path languages, how graph technol...

How do we move past the ultimate graph answer: "It depends"? Live from the Open Data Science Conference (ODSC), Amy Hodler sat down with Golven Leroy, graph researcher and data science lead at Graphable, to discuss groundbreaking core mathematics that could change how we calculate the compute cost, latency, and bounds of graphs and trees—independently of technology. We also dive into his t...

Is the future of AI fluid and semantic, or rigid and structured? In this episode of Graph Geeks in Discussion, host Amy Hodler sits down with Roie Schwaber-Cohen, Head of DevRel at Pinecone. Together, they explore a fascinating philosophical and operational debate: the intersection of vector geometry (semantic distance) and graph topology (explicit connectivity). Tune in to discover why solving th...

Is data copying dead? In this episode of the GraphGeeks Podcast, host Amy Hodler sits down with Marko Budiselić ("Buda"), Co-founder & CTO at Memgraph, to discuss their major new releases: Memgraph Zero and MemGQL. Discover how Memgraph is tackling the massive pain point of ETL pipelines by creating a federated GQL layer that queries data directly at the source—across Postgres, MySQL,...

In this chat, Amy Hodler catches up with William Lyon to discuss his recent return to the Neo4j Product Team and his deep dive into the world of AI agent frameworks and memory. Wil discusses his hands-on workshop exploring a fascinating frontier: Graphs as the Memory for AI Agents. Moving beyond simple retrieval, Will explains how we can use graph technology to mirror human cognitive functions, in...

Bryce Merkl Sasaki (Head of Marketing at gdotv) sits down with the "Gandalf of Graph Technology" himself, Paco Nathan (Senior DevRel at Senzing), at the Open Data Science Conference. Paco is a pioneer in neural networks and NLP since the 1980s, and a leading voice in the MLOps and Graph communities. In this chat, Paco cuts through the current hype bubble to discuss how graph technologies a...

What happens when two community-builders sit down at the Open Data Science Conference (ODSC)? They talk about the future of AI infrastructure and the importance of supporting the next generation of founders! In this episode, Amy Hodler of GraphGeeks is joined by Michelle Yi, co-founder of Generationship, to dive into: The "Eval" Crisis: Why 95% of GenAI POCs fail and how rigorous evaluatio...

In this Graph Chat from ODSC, Sony Green (COO of Kineviz) joins Bryce Merkl Sasaki to discuss how graph technology is moving from a niche tool to a mainstream enterprise powerhouse. Highlights: The Spanner Graph Impact: Why Google’s entry into the graph space is a watershed moment for big data and high consistency. Human-Centric AI: A look at Knowledge Mapping—helping law enforcement and investiga...

In this episode of Graph Geeks, recorded live at the Open Data Science Conference (ODSC) in San Francisco, Bryce Merkl-Sasaki sits down with graph pioneer Denise Gosnell, PhD. Drawing from her experience at DataStax and AWS Neptune, Denise shares why graph technology is the secret engine behind modern AI. Key Highlights Denise argues that the current AI explosion isn't a separate trend but is...

Live from ODSC West (Open Data Science Conference), Amy Hodler of GraphGeeks chats with Wes Madrigal, Co-Founder and CEO of Kurve, to discuss the intersection of graph technology, metadata, and the future of AutoML. Key Points: Solving the 80% Problem: Despite AI advancements, most effort still goes into data discovery. How to automate extracting metadata like foreign keys from data lakes to build...

In this in-person chat at ODSC, Amy Hodler (GraphGeeks) and Bryce Merkl-Sasaki (gdotv) discuss how the graph space has evolved from simple nodes to the "new horizon" of multimodal GraphRAG and AI procedural memory. In this video: Moving beyond text to model audio and video in graphs. How graphs extend AI context windows and create long-term procedural memory for agents. Better Tooling: Bry...

In this Graph Chat, GraphGeeks founder Amy Hodler sits down with Meg Paulosky, Director of Data and Analytics at Stitch Fix, live from the Open Data Science Conference (ODSC). For over a decade, Stitch Fix has pioneered the blend of human styling and data science. Now, Meg explains how her team is evolving that mission by integrating Knowledge Graphs to better understand their data landscape and i...

Is the AI moment actually a Graph moment? In this chat, Amy Hodler (Founder of GraphGeeks) sits down with Philip Rathle, CTO of Neo4j, to discuss the massive shift in how enterprises are building AI. In this interview, they dive into: Graph RAG vs. Vector Search: Why similarity search isn't enough for high-stakes enterprise problems and how Graph RAG provides the discernment LLMs lack. Neuro-s...

In 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 fro...

Bryce 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: Mu...

Amy 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...

For 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: Gra...

Why 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...

Join 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...

Join 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,...

Amy 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...

Join 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 offe...

In 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 genera...