Jean Innes, Matthew Ward, Emanuele Haerens, and Alli Paget lead a condensed introduction to key data science and machine learning concepts and techniques, showing you what is (and isn’t) possible with these exciting new tools and how they can benefit your organization. You’ll learn a language and framework to talk to both technical experts and executives in order to better oversee the practical application of data science in your organization.
Introduction to data science
Data science in industry today: Practical applications and benchmark leaders
Data in your organization: What are your raw materials?
Project selection: What makes a good data science project?
Managing a data science project: How is it is different from other projects?
Leading or supporting a data transformation
Jean Innes is Director of Transformation and Strategy at ASI. Before joining ASI Jean was Director of Consumer Data at Rightmove, the UK’s top online property search website, where she identified the objectives and then built a team to deliver the company’s first machine learning capability, delivering new commercial tools from terabytes of unstructured data. Jean worked at Amazon as Head of Commercial Relationships in the UK retail business, and also has experience in the public sector at HM Treasury. Jean is advisor to the board of HouseMark, with a focus on data and technology.
Matthew Ward is a Commercial Principal at ASI. He has more than seven years experience in advising energy and utility companies, helping to transform their customer engagement strategies using data solutions. Prior to joining ASI, Matthew was responsible for Client Success at Opower (acquired by Oracle in 2016), leading customer success, implementation engineering and project management teams. He holds a Bachelors in Climatology from McGill University and a Masters of International Energy Policy from the Middlebury Institute.
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