The value of machine learning and data for cities

Arup

Machine learning is ideally suited to optimise services. We will share our insights on how predictive analytics can help improve operations.

The value of machine learningMachine learning is ideally suited to optimise services, as we showed the municipality of The Hague and for a bike sharing scheme in Cork, predicting cycle usage at junctions on hot summer days or the use of shared bikes in a city. The next leg in our journey is to understand how to apply the findings in practice to adjustment of green times, size of pop-up bike parking on the beach and the operation of a bike-sharing system. Join our webinar and find out how. During this webinar -	Ruud van Gils, policy maker data for the municipality The Hague will share the developments in FietsLAB070 and his insights on the potential value of machine learning. -	Imke Lánský, digital engineer will take you through this case study.-	Cathal Leahy, Senior Data Scientist will take you through the bike sharing scheme study for Cork.

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The value of machine learning and data for cities

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