Analytics Edge Programme Part I

Event Quickinfo
Date 16 Feb - 23 Mar 2022
Your host
Location Self-paced fully virtual training course

About the course

Have you got the edge?

Insurance is changing. All along the value chain, insurance is going digital. 

What does this mean for your company? Data is becoming your most valuable asset. Effectively understanding and using that data is your edge. It could be the difference between success and failure. This programme is for executives and senior managers who want to understand the capabilities of modern analytics methods. You will create a problem statement and together we address the data, models, decision points, and value chains needed to solve that problem.

Learning goals

Gain the digital analytics insights you need to help you arrive at better business outcomes.
Creating a problem statement and addressing its data, models, decision points and value chains needed to solve it.
Find out how to tactically navigate the common pitfalls that cause ML/AI project failures.
See cutting-edge algorithms in action including XGBoost, Optimal Classification Trees, Deep Learning, and optimization.
Learn how a common fungible framework can be used to execute analytics projects and provide clear guidance on when to intervene.
Bring your own Product to life: Each participant’s experiences will be transformed into a workbook.


Participants must be fluent in English. No coding required.


16 February – 23 March 2022

Maximum six weeks, at your own pace, including "meet the experts' hour" sessions hosted by Swiss Re.

Expert hours will take place at 16:00 CET | 10:00 EST on the following days:
Wednesday, 16 February 2022
Wednesday, 23 February 2022
Wednesday, 2 March 2022
Wednesday, 9 March 2022
Wednesday, 16 March 2022
Wednesday, 23 March 2022


The event may be photographed, videotaped, filmed and /or digitally recorded. You consent to Swiss Re's use, free of charge, of any memorialization of the event in which you may appear for any Swiss Re publication or promotional purpose.


Module 1: COVID-19 Calculator

Ensemble Methods

Under sparse data conditions, provide clinicians with a tool to guide their treatment decisions.

Module 2: COVID-19 Delphi Model / Policy Effects

Dynamic Modeling

Guide decision making under uncertainty by enabling a decision maker to see the effects of various actions.

Module 3: Default Risk

Interpretable Machine Learning

Determine whether to approve or deny a loan in an explainable way.

Module 4: Handwriting Recognition

Neural Networks / Optimization

Design a complex Al model tailored to your use case by leveraging state-of-the-art tools.

All Modules contain

  • A video introduction and conclusion between Jeff and Dimitris:

    Jeffrey Bohn, Ph.D; Chief Research & Innovation Officer, Swiss Re Institute. Previously Chief Science Officer and Head of GX Labs, State Street Global Exchange. Widely published in machine learning, AI and credit risk.

    Professor Dimitris Bertsimas; Boeing Leaders for Global Operations Professor of Management at Massachusetts Institute of Technology, author of numerous publications, including Analytics Edge.
  • An actual live analytics tool. Its story of each tool from idea to production is delivered across the common accessible framework of data, models, decisions, and value chain.
  • A series of common failure modes that analytics leaders will be equipped to navigate.

Contact Any questions about invitation process and/or programme?

Client Programme links