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To all data enthusiasts in Bergen, let’s meet up, learn, and connect!

17:00-17:20—mingling and food
17:20-17:50—"Streaming Personalization" with Snorre Alvsvåg, backend developer and data scientist at TV2.
Recommending content to users on a video streaming platform differs from other domains by way of the content itself, the users commitment to a content, and their interests drifting or changing based on variables outside of our control. In TV 2 we solve this issue through traditional methods, following in the footsteps of Academia and Industry, adjusting techniques and knowledge to our domain and product, but look towards a possible change of tactic, where we mix models and signals based on many more factors then just general interest. In this talk I will showcase how we use personalisation algorithms on TV 2's streaming platform TV 2 Play, some of the issues we face, and possible horizons.

17:50-18:20—"GridEyes" with Michele Gazzea, Senior Data Scientist at StormGeo.
The talk will present "GridEyes", an online geospatial analytics platform that provides powerline operators with real-time insight into the state of their infrastructure, focused on grid reliability and vegetation risk. The platform integrates land-use segmentation, building and vegetation detection, canopy-height modeling, tree-species classification, risk analysis, and weather analytics to help utilities monitor their networks more efficiently and proactively. We’ll go through the key ML and remote-sensing methods behind these capabilities and the experiences from recent deployments with Norwegian grid operators.
18:20-??:??—mingling

Location: TV2
Lars Hilles gate 30, 5008 Bergen

If your company or school would be interested in sponsoring an upcoming event, please let us know. We'd like this to be a community-led event, and we rely on venue and food sponsors to make that happen. Venue sponsors will have priority for a presenter slot. Share with us the cool stuff that's happening at your organization!

Events in Bergen, NO
Artificial Intelligence
Machine Learning
Data Analytics
Data Science
Predictive Analytics

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