Category - Nordic Data Science Summit 2016

At Spotify the main search mode is search-as-you-type where new results are presented after each character entered by the user. These partial search queries are inherently very ambiguous. For instance, when typing...

This session will be about analysing real-time connectivity data from of millions of IoT devices spread across the globe, and the supporting analytical models for a constantly changing fleet of devices and their...

The talk will briefly introduce the business problems that article level forecast is addressing in retail and some of the most relevant use cases it can serve. Following that, requirements regarding such a forecast will...

Truecaller helps identify unknown incoming calls and warns users against unwanted calls through a community based spam list, contributed by more than 200 million users worldwide. In order to provide the best possible...

With Spotify’s constant evolving product and fast growing user base, the user behavior in Spotify is becoming significantly diversified and complex. Thus, obtaining a holistic view of user behavior is crucial for future...

Machine Learning techniques combined with processing power of Graphics Processing Units (GPU) revolutionized AI. Deep Learning evolved as most efficient technology to recognize patterns. GPU databases combine highly...

This session gives more insight on how agile data enables the data-driven business.

This session gives insights of industrializing predictive analytics on Big Data Infrastructure and how to take maximum advantage of data.

Weather is a source of fascination and endless conversation. When you combine weather data sets with twitter chatter about the weather, what kinds of surprising insights might you find? Are the weather sentiments on...

This session will give you more insight on feature extraction and how it is the key to accurate models.