Research Centre: Research Centre for Machine Learning
Speaker: David Mitchell, Mikko Heikela (Futurice)
Futurice is a software, design and data science consultancy working with many of the leading automotive, energy and financial brands in Europe. In this presentation we will use our experience to take a practical look at using Data Science in a business context.
Machine Learning and Big Data have been buzzwords for years now, but how do you know you have a Machine Learning problem on your hands? This talk will describe the types of problems ML methods are well suited to solve, with examples from a wide variety of industries. It will also tell you where to get started if you want to try solving one of these problems yourself.
We will introduce tools developed at Futurice to evaluate and plan practical data science projects and machine learning solutions. Often, an AI feature will not completely replace human work in a process or service, but will instead complement human intelligence. In this case we call this intelligence augmentation. We will introduce the Intelligence Augmentation Design Toolkit which we have developed for designing these types of services and open sourced.
Daryl Weir (Ph.D.) joined Futurice as a senior data scientist in 2016, after bailing out of a career in machine learning research. He grew up in Scotland and then moved to Finland because he just loves rain that much. He enjoys board games, climbing tall things, and Bayesian inference.
Mikko Heikelä (BSc) is responsible the Data Science practice at Futurice London. He was 12 years of experience from technical and leadership roles in complex software projects, and has been leading the technology team at Futurice London since 2015. Mikko enjoys connecting both cutting edge and proven technologies in order to solve clients’ business problems.
video from this seminar can be found here
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When and where
5.00pm - 6.00pmFriday 8th February 2019