Getting started with Machine Learning can take time and effort. Still, in this session, we will explore the world of Oracle Machine Learning (OML) to analyse women's soccer data, uncovering performance trends, player insights, and team strategies. We will explore anomaly detection, AutoML, and clustering - and, more importantly, show you how you could get going with OML.

We apply advanced algorithms to reveal critical patterns that drive success, from tactical formations to individual contributions.

Our approach enhances coaches' and analysts' decision-making, pushing the boundaries of data-informed performance analysis in women's soccer.

Additional Notes:
Gartner’s hype cycle in 2024 indicated becoming AI-ready was the key theme. Part of ‘getting ready’ is understanding ML processes, how to use Auto ML, and how to interpret and use the results within the business. This talk will take the audience through this preparation and make people feel more confident when talking about ML.

Technology: Oracle 23ai, Data Science