REBUILDING RETAIL: DATA INITIATIVES TO CREATE COMMERCIAL UPLIFT

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Ryan Burke

Global Data Science Lead Royal Canin

Ryan Burke, PhD leads global data science and AI initiatives at Royal Canin (Mars Petcare), where he is responsible for shaping and scaling AI-driven decision capabilities across the business. His work focuses on building next-generation AI systems, including synthetic populations, decision intelligence platforms, and knowledge graph–based architectures that enable organizations to move from descriptive analytics to autonomous decision-making. Ryan combines deep technical expertise with strategic leadership, bridging data science, product, and business to deliver measurable impact at scale. With a background in neuroscience, he brings a unique lens to the development of AI systems that mirror human reasoning and behavior.

Agenda Day 2

9:25 AM FIRESIDE CHAT: THE YEAR OF ONTOLOGY: AI CONTEXT MATURITY LADDER

As retailers race to operationalise AI, the real differentiator is not more data, but better context. This session explores how ontology, semantic layers and knowledge graphs form an “AI context maturity ladder” – from fragmented data islands to connected, explainable insights. We’ll discuss what each maturity step looks like in practice, how federated and centralised models approach the journey differently, and where to start if you’re still in experimentation mode. Expect pragmatic guidance on resourcing, governance and stakeholder buy-in rather than just another framework.

Check out the incredible speaker line-up to see who will be joining Ryan.

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