We are presently in the midst of an artificial intelligence (AI) revolution, where advances in deep learning technologies are rewriting the rules of entire industries – including how we forecast the weather and predict changes in our climate. In this session we will learn how the Met Office is successfully navigating the opportunities and challenges (both technological and cultural) of embedding AI across the organisation, and discuss how the complementary use of AI alongside traditional physics-based weather and climate models will further help people make better decisions to stay safe and thrive.
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Speaker
Mats Stellwall
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Mats Stellwall serves as the Field CTO for Data AI/ML at Snowflake, providing invaluable guidance on integrating the Snowflake Data Cloud within AI frameworks. He began his career by developing Data Warehouse and Business Intelligence solutions across diverse industries. Transitioning to Data Science in 2010, he immersed himself in SPSS, later mastering Oracle Advanced Analytics, Spark ML, and Python's scikit-learn, among others. Mats is renowned for his hands-on approach, assisting clients across various sectors while offering strategic advice and roadmap consultancy.
Bio from: gartner-data-analytics-uk-2025
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