Speaker: Markus Frise (Black Swan)
Research Centre: Research Centre for Machine Learning
Product innovation is a multi-billion dollar industry and spotting the right trend at the right time has historically been something of a dark art for many businesses. With a world of social data now at our fingertips, Black Swan helps brands to de-risk innovation programmes and define their future focus by scientifically surfacing, prioritising and predicting consumer trends within social media. Working with leading global consumer brands to turn the art of innovation into science.
In this talk, we will look at Black Swan’s approach to spotting and prioritising consumer trends and introduce Trendscope, Black Swan’s ‘Social Prediction’ platform.
About Black Swan (www.blackswan.com): Bringing together a passionate team that combine skills in software engineering, data science, design, product innovation and marketing, we thrive on change, innovating across social intelligence and big data. Launched in 2011, today Black Swan employs 200 people worldwide across offices in the UK, USA, Singapore, Hungary and South Africa. We work with some of the world’s most exciting brands including Pepsico, Disney, Panasonic, Tesco and GSK. Whilst we still like to think of ourselves as start-up, our work is getting us noticed – we were shortlisted for a Data IQ Talent Award in 2017 and have been named Britain’s fastest start up by The Sunday Times, ranked #1 in their inaugural ‘Start Up Track 15’.
Markus is Executive Data Science Director at Black Swan. He studied Chemistry and Quantum Mechanics at Oxford before working in the supply chain transformation team at Tesco, working on demand forecasting and data analysis. Since joining Black Swan as Head of Data Science, Markus has been leading a multi-disciplinary team using the latest developments in Machine Learning to help their clients – global retailers and consumer goods brands - make the right decisions. Markus will be joined by Richard Mann who is both Corporate Development Office at Black Swan and a current Data Science Masters student at City.
Slides from this presentation can be found here.
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When and where
6.00pm - 7.00pmFriday 6th April 2018