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Mike Le Galloudec

The Peculiar State of AI

Explore how AI is transforming the data industry, enabling organisations to unlock insights, streamline processes, and make better business decisions. Mike LG shares practical examples and lessons from real-world AI implementations.

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The Evolving Data & AI Landscape

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AI as a Business Tool

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Using AI To Improve Decisions

Introducing the Presenter

Mike Le Galloudec

Principal Engineer Advocate

Mike Le Galloudec (MLG) is a Principal Engineer Advocate at Oakland, where he combines hands-on engineering with technical advocacy, helping organisations understand and adopt the latest advances in AI. His work focuses on designing and delivering agentic AI solutions while making complex technologies accessible to business and technical audiences alike.

Most recently, Mike led the development of Network Rail's first production-grade AI application, using Microsoft Azure and bespoke AI agent frameworks to transform operational data into real-time, actionable intelligence. With a background in data science and a Physics degree from the University of Oxford, he brings a strong analytical foundation to solving complex enterprise challenges. He's also known for having a neural network tattoo (a fitting reminder of his passion for AI).

Alongside his engineering work, Mike is passionate about sharing knowledge and making AI approachable. He hosts Oakland's YouTube channel and creates content for its growing TikTok audience, breaking down AI, data, and emerging technologies into engaging, bite-sized insights. Whether working with organisations across rail, transport, or utilities, Mike combines technical depth with clear communication, helping businesses unlock the practical value of agentic AI and intelligent automation.







AI in Data Analytics: How AI is Transforming Decision-Making and Business Value

AI is transforming the data industry, but success depends on more than just adopting the latest technology. Discover how organisations can use AI to unlock business value, accelerate insight generation, and support better decision-making while maintaining strong data foundations and governance.

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