This podcast episode features host Amy Hodler in conversation with Joe Eaton, NVIDIA Distinguished System Engineer, discussing graph analytics acceleration technologies. They look at current trends in graph technology and their real-world implications.

Fraudsters and key customers often go unnoticed, hidden in plain sight. Entity Resolution (ER) is the key to uncovering these connections by seamlessly linking data across sources. It transforms chaotic datasets into actionable insights—and ultimately, into a state of data clarity. In this session, Paco Nathan, a renowned industry expert, explores the transformative power of ER through major use cases and real-world challenges.

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.

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.

How do you build a knowledge graph that processes millions of new entities and relationships every day—and make it easy to explore through natural conversation? In this talk, Rob Caulk, the founder of Emergent Methods and open source veteran with over 1000 academic citations, will share how their team fine-tuned Phi-3-mini-4k to outperform Claude Sonnet 3.5 in graph extraction for dynamic knowledge wrangling at scale.

Evaluating how well someone gathers, interprets, and acts on environmental factors is difficult. Graphs offer us a way to transform how we understand those skills! Traditional skill-based assessments employ naive encodings that neglect broad equivalence classes. Graph-based encodings enable us to reason about context, giving a powerful new way to evaluate near-equivalent outcomes.

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. 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.

Curious about the intersection of graphs and Generative AI? Confused by terms like Graph RAG, semantic search, and retrievers? Watch this GraphGeeks talk for a comprehensive introduction to the powerful combination of Graphs and LLMs, featuring the Neo4j property graph model. Véronique Gendner, an expert with over 25 years of programming and data processing experience shares her learning journey with a visual and accessible exploration of these concepts.

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.

According to open source libraries for GraphRAG, a dominant notion is: "Just use an LLM to generate a graph automatically, which should be good enough to use." For those working with graphs in regulated environments or mission-critical apps, this isn't appropriate. There's a larger question: How can we build KGs from both structured and unstructured data sources, and keep human expert reviews in the loop, while taking advantage of LLMs and other deep learning models?

The Year of the Graph is a central node for all things Graph. A collection of resources, a graph database report, and a biannual newsletter, all curated by George Anadiotis: Analyst, Consultant, Engineer, Founder, Researcher, Writer.

Graphs are changing the way 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.

How do we go from graph data management to analytics and communication?

What can visualization help in each of those steps?

What are some specific needs from visualization?

What is the role of schema?

Those are the questions we will discuss in the talk.

Let's dive into a fusion of word embeddings, similarity measures, and graph exploration!

Join Michelle Yi to explore the world of Japanese Kanji using an approach similar to density-based clustering on top of word embeddings and cosine similarity.

This approach allows us to look at the relationship between concepts and also enables graph analysis.

Learn how to ensure success for your graph projects and team!

To be successful, there are four key elements that need to be in place: the right data culture, graph problem, data, and team.

Learn about using interconnected data to explore power in networks with examples from IT, social, and financial systems.

We cover centrality's applications, like combating terrorism and cyberattacks, and strategies for enacting change beyond predictive analytics.

We also look at how this science of measuring importance is evolving to be more readily applied to different needs.

Join this GraphGeeks Talk with Sören Klein to learn about the Ember Nexus API.

This project strives to create a minimal set of endpoints to interact with your data, which allows building increasingly complex interactions - similar to the game of life. Instead of being universal in the sense that every imaginable variant is exposed, it just simplifies access to your data.

Listen 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.

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.

Graphs 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 GraphGeek podcast with experts Jesús Barrasa and Dave Bechberger for a discussion about these approaches.

Join us to hear a sneak peek of Maya Natarajan's upcoming talk at the Knowledge Conference (KGC).

Her talk "The Rise of Graph Jobs, The Disappearance of Graph Technology?" is on Thursday, May 9th a 2:30 in the KGC main auditorium.

Discussion 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