Richard Sargeant and Myles Kirby offer a condensed introduction to key AI 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 AI
AI in industry today: Practical applications and benchmark leaders
Data in your organization: What are your raw materials?
Project selection: What makes a good AI use case?
Managing an AI project: How is it is different from other projects?
Leading or supporting a data transformation
Myles Kirby is a commercial principal at ASI. Miles has extensive experience in data and digital transformation in the private and public sectors. Over his career, he has worked with executive teams across six industries in four continents, including advising the UK government on its National Digital Transformation strategy and developing a new data strategy for a FTSE 10 oil and gas company. Previously, he was a manager at Accenture, where he cofounded the Digital Strategy practice. His policy research on innovation and entrepreneurship has been covered in international media outlets such as Wired, the Wall Street Journal, and the Financial Times.
Richard Sargeant is the chief commercial officer at ASI. Richard has board-level experience helping senior leaders across a variety of sectors transform their businesses to use AI effectively. Previously, he was director of transformation at the Home Office, where he oversaw the creation of the second-most advanced in-house machine learning capability in the UK government, was one of the founding directors of the UK Government Digital Service, and worked at Google. He has also worked at the Prime Minister’s Strategy Unit and HM Treasury and is the non-executive board member at Exeter University with responsibility for digital, data, and technology.
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