Analytics Edge Programme Part II

Event Quickinfo
Date 05 Jul - 09 Aug 2022
Facilitator:
Location Self-paced fully virtual training course, only the "meet the expert hour" sessions are live via MS Teams

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. We will then consider how to tactically navigate the common pitfalls that cause ML / AI project failures.

In part II of our Analytics Edge Programme, you will dive into four modules to better understand the effect these have on daily lives. The modules will allow you the opportunity to:

  • Learn how to make use of robust optimization for calculating appropriate business judgement for situations where you need to adapt to change and unforeseen circumstances.
  • Leverage optimal feature selection and optimal classification trees to detect racial bias in jury selection. Find out how to predict outcomes where variables may or may not be relevant and assess how underwriting algorithms can lead to biased decisions.
  • With a real estate case you will predict housing prices by using a tree-based model with linear regression leaves, you will dive into a novel method that gets the best of both worlds.
  • Leverage natural language processing to build a model to identify and predict stroke. You will learn the latest methods of sophisticated predictions for unstructured data which you will then be able apply for our industry, where the transaction of documents is enormous, especially in the claims and contracts areas.

Further Information

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.
  • Learn how a common fungible framework can be used to execute analytics projects and provide clear guidance on when to intervene.
  • Each participant’s experiences will be transformed into a workbook.

Requirements

  • Part I of the Analytics Edge Programme is required.
  • Exclusively for executives and senior managers eager to expand their knowledge and capabilities of modern analytics methods.
  • Participants must be fluent in English.
  • No coding required.

Dates

5 July – 9 August 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 CEST | 10:00 EST on the following days:
Tuesday, 5 July 2022
Tuesday, 12 July 2022
Tuesday, 19 July 2022
Tuesday, 26 July 2022
Tuesday, 2 August 2022
Tuesday, 9 August 2022

Disclaimer

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.

Further Information

Agenda

Module 1: Capacity Planning

Robust Optimization

Conduct capacity planning in the face of uncertainty with robust optimization.

Module 2: Jury Selection

Bias Detection

Leverage optimal feature selection and optimal classification trees to detect racial bias in jury selection.

Module 3: Real Estate Pricing

Intuition-Guided Model Building

Predict housing prices by using a tree-based model with linear regression leaves.

Module 4: Structuring Data to Predict Stroke

Natural Language Processing and Outcome Prediction

Leverage natural language processing to build a model to identify and predict stroke.

All Modules contain

  • A video introduction between Dimitris and Jordan.

Professor Dimitris Bertsimas; Boeing Leaders for Global Operations Professor of Management at Massachusetts Institute of Technology, author of numerous publications, including Analytics Edge.Feature 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.

Jordan Levine is a lecturer at the Massachusetts Institute of Technology (MIT) and a partner at Dynamic Ideas, an organization committed to spreading powerful ideas in the areas of analytics, operations research, and their applications. He focuses his energy on translating complex data and analytics topics to business audiences. 

  • 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?

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