Sinisa Slijepcevic studied with Stephen Hawking, among other professors, while earning his PhD in applied mathematics at Cambridge University.  Sinisa is a McK alum and independent consultant and runs a firm called Cantab Analytica, which is based in the UK and Croatia.

Sinisa’s firm leverages machine learning to help clients make better decisions and to focus energy on the right decisions.

In our discussion, Sinisa provides several case examples to illustrate how machine learning can help make decisions in three ways:

First: decisions that may be subject to unconscious bias, such as the investment decisions made by venture capital firms

Second: decisions that are complex and also occur very frequently, such as dynamic pricing of hotel rooms.

Third: focusing management attention on the most important decisions, such as figuring out which purchasing decisions are the most critical in a supply chain.

You can learn more about Sinisa’s firm on the website: cantab analytica.com