How Generative AI dynamically transforms business problems into executable graphs of data products, by creating AI-powered digital twins. Describing business needs in plain language and generating and simulate entire end to end business processes with UX as an interconnected eco-system as graph data products, demonstrated through real-world use-cases.
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Speaker
Jon Cooke
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Jon Cooke is the CTO and founder of Dataception, where he drives innovation at the intersection of Data, AI, Product Thinking using Data Object Graphs. He is the creator of the Data Product Pyramid, a framework that guides organizations from raw data to fully operational, decision-driven AI products.
He and his team has built Nebulyx.AI – An advanced AI and Data Product platform to create end-to-end AI driven business process (materialised as Data Object Graphs) solutions in hours.
With over three decades of experience in enterprise data and AI systems, Jon focuses on AI-infused data products, using small, purpose-built language models, graph-based architectures, and end-to-end product ownership using business focussed data products.
His work utilises the convergence of AI and graph technologies to enhance data discovery, reasoning, and automation within business processes.
Bio from: Big Data LDN 2025
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