Mark is a Senior Staff Engineer at Spotify, where for a decade he has worked on a broad range of infrastructure related experimentation, data processing, and analytics.  Having operated and scaled solutions at all stages of growth, his primary focus is on technical strategy and architecture.  Prior to Spotify Mark worked at the New York Times on personalization systems.

Justin Alvis is VP of Sales at Ntara, where he has spent the past 12 years helping manufacturers, brands, distributors, and retailers modernize how they manage and deliver product information. Over more than a decade in the product experience management (PXM) space, Justin has partnered with organizations across product information management (PIM), digital asset management (DAM), and digital commerce, helping them turn complex product data into a real competitive advantage.

Vinny Maurici is Chief Operating Officer at Syndigo, where he leads global operations, services, and customer execution across the company’s product experience and data management portfolio. With deep expertise in product syndication and enterprise data strategy, Vinny focuses on helping brands and retailers modernize how product data is governed, activated, and delivered across commerce ecosystems.

Rosie Cotela is a creative and product leader with deep expertise in creative direction, product design and development, brand storytelling and creative operations. Her career spans global brands including Disney, NBCUniversal, Mattel and Hermès Paris, alongside leading large-scale lifestyle, homewares and gifting portfolios from early trend and cultural insight through to product development, photography, visual merchandising and market launch. 

Knowledge graphs and ontologies are frequently proposed as essential components of GraphRAG architectures for grounding large language models, improving retrieval, and providing a semantic layer. However, discussions of these concepts often remain informal, with terms such as context, semantic layer, and even knowledge graph used without precise definitions. This ambiguity makes it difficult to compare approaches, evaluate implementations, or reason about their capabilities.