Projects that use Machine Learning and Analytics are complex, hard to understand, and manage. As a manager, it is imperative that you know how to set the strategic technical direction for the entire team and the organization to ensure proper alignment and derive the business value from technology. The general perception is that you should know a lot of mathematics and have a computer science background to understand Machine Learning and Analytics. We believe that managers can be given the required knowledge to effectively apply Machine Learning and Analytics to derive business value in their organizations. This workshop will introduce and teach you the major building blocks of Machine Learning and Analytics systems using real-world practical examples and cases. This will enable you to manage these technologies successfully and effectively in your organization. The workshop is specifically geared towards managers and does not require any programming or mathematical knowledge.
President and Professor of Strategy & Innovation
Professor Abonamah is the President & Provost of the Abu Dhabi School of Management. Dr. Abonamah has a PhD in Computer Science from the Illinois Institute of Technology, Chicago, Illinois and an Executive Management Graduate Degree from Yale University School of Management. His research and teaching interests include strategy, data analytics, cognitive technologies, and innovation management.
Assistant Professor of Business Analytics
Dr Neda Abdelhamid is an Assistant Professor at the Abu Dhabi School of Management under the Business Analytics master program. She holds a PhD in Computer Science – Data Mining from De Montfort University, Leicester, UK. She was previously awarded her BEng degree in Software Engineering from the University of Bradford, UK.
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