Tuesday, November 9, 12:00pm - 1:00pm (EST)
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# The data you were promised… and the data that you got
## A story about Reykjavík’s Thermal Pools
When a team within your organization comes to you with a way to launch a highly sought-after data product as a quick win, how should you respond? With open arms of course, but also, as it turns out, with a healthy dose of skepticism. Hlynur Hallgrímsson, a senior data scientist with the City of Reykjavík, Iceland, talks about putting predictive modeling in production when your data doesn’t tell you the whole story. Using the real-world example of Reykjavík’s public thermal pools, Hlynur goes through the process from idea through to implementation of a “simple” app that tells you which public pools are currently the most crowded.
Hlynur Hallgrímsson is a senior data scientist within the City of Reykjavík’s Office of Data Services, the city’s centralized data science team.
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