Analytics and Machine Learning at Swedbank & Spotify

We hear a lot about machine learning models these days, but what does it mean for traditional and new businesses? What are the opportunities in terms of strategy, how do they actually deploy these technologies?

For our next event in Stockholm, we are glad to welcome 3 data scientists from Swedbank, Spotify and Dataiku to share their experience with us.
Whether you’re a confirmed data scientist or simply curious about it, join us at Impact Hub Stockholm to exchange views on real-life use cases!

Here is an appetizer :

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Talk #1 : Swedbank

Anna Baecklund is a principal data scientist at Swedbank. She'll walk us through the following project :
« Cash flow forecasting: How to predict a customer’s loan affordability from historic transactions »

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Talk #2 : Spotify

Guilherme Dinis Jr is a machine learning engineer. He'll tell us more about his team's vision on:
« Machine learning in production: Reasoning about health and performance »

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