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/

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.

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/

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 talk with experts Jesús Barrasa and Dave Bechberger to better understand these approaches.