How does a lean data science team at Lottery Corporation manage to avoid the common pitfall of AI/ML being stuck in the lab, have 90% of their models in production and drive substantial business outcomes? Join Dr. Chris Hillman and Stewart Campbell to learn how the current programmes of models are built for success, driving risk reduction, anomaly detection and better customer retention at scale. Then, hear about their plans to use LLM, RAG and agentic AI to drive hyper personalisation, business productivity and better investment decisions.
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Speaker
Chris Hillman
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Dr. Chris Hillman is the Global AI lead for Teradata. Chris and the team work closely with customers to design and build robust AI solutions that are production ready and deliver real value and ROI. Prior to this current role he has a record of working in AI & Data Science across many industries in the International region focusing on large scale production of machine learning and AI. He has spoken regularly at leading conferences including Strata and Gartner and participated in many live webinars. Chris gained a PhD at the University of Dundee researching real-time distributed feature detection in Proteomics data
Bio from: gartner-data-analytics-apac-2025
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