Advanced technologies have the power to transform the way we do business and the value we can offer clients. These tools also have a lot to teach us about the way we can tackle challenges across all business functions.
In the Algorithmic Business Thinking Sprint (ABTS) a new on-demand, asynchronous learning experience from MIT Sloan Executive Education, Faculty Director Paul McDonagh-Smith introduces the concept of Algorithmic Business Thinking—a framework for understanding the key principles of algorithms, code, and data and a methodology for applying those principles across role and departments, from products and service to business functions like finance, sales, and marketing. The ABT framework marks a radical rethinking of how technology, people, and processes combine to create and deliver value.
Inspired by Agile product development sprints, this self-directed course is an opportunity to apply this cutting-edge concept directly to a challenge you are facing in your own organization. You’ll engage in four core components of the sprint cycle—goal setting, relays, review, and retrospective—and use them to understand and apply the cornerstones of computer science as a transformational problem-solving technique. The reading materials, videos by faculty and industry experts, podcasts, and sprint workbook supplied will walk you through each of these cornerstones—decomposition, pattern recognition, abstraction and algorithms—enabling you to you crack the code on your business challenge in record time.