Nijma Khan and Alberto Favaro 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
Nijma Khan is a Principal at faculty. She has fifteen years strategy experience. Over her career she has focused on helping organisations combine commercial, social and environmental value across the retail, consumer goods and telecoms sectors, as well as working with organisations like the World Economic Forum and the United Nations.
Prior to joining faculty, Nijma was responsible for Strategy, Insights and Innovation at Accenture with a particular focus on the impact of automation on learning and work, and the practical application of AI and emerging technologies for good.
Dr Alberto Favaro is a senior data scientist at faculty. He has led data science projects in the energy, financial services and retail sectors. His areas of expertise include distributed computing for big data, deep learning, and Bayesian statistics. He has extensive experience using TensorFlow, Dask, and MongoDB. He was previously a theoretical physicist, and held research posts in the UK, at Imperial College London, and in Germany, at the Universities of Oldenburg and Cologne. His research was included among the ‘Top 10 breakthroughs of 2011’ by the magazine Physics World.
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