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In this session we’ll be discussing some - but not all! - aspects of media & data science
Media is overwhelmed with a continuous feed of data and multi-format data sources. The challenge for data scientists is to combine multiple techniques and be able to deliver actionable insight immediately.
6.30pm Free beer + Free pizza + Networking
7.00pm Talks start
Alison Saunders, Scrum master @BSkyB now taming "big data" projects
Tamas Jambor, Data Scientist @BSkyB, PhD student @UCL, investigating new different approaches in recommender systems
Zhiwei Lin Software Engineer @BSkyB, researching the latest in machine learning and NLP for text analysis
"Applications & challenges for Data Science within media"
"Recommender Systems in R"
"Sky Search Dashboard with Log Analysis"
Q&A and beer break
Phil Winters Sr. Consultant @Knime, years&years of experience, lots of scars & medals from fighting customer intelligence, data and analytics battles
“Sentiment, Network and Clustering: Combining techniques to tackle the new media challenge”
Using Open Data and Open Source Knime, this talk will be a practical walkthrough and demonstration of “best approaches” to generating insight from big data in media. Phil will encourage the crowd to engage in a lively Q&A
More Beer and Networking
Session ends by 9.30pm-ish