Which tasks will still require human actuarial input in the next decades? How far will Actuarial Artificial Intelligence go? How can we keep an overview with increasingly complex methods & models? Will consulting and controlling be the only remaining tasks for actuaries? Will non-actuaries enter the field?
The Evolution of the Actuary In a World of Automated Machine Learning
Jaqui Wassenaar, RGAX EMEA
Jeffrey Heaton, RGA
Actuaries of the Future – Robots with Little Emotions or Communicative Human Beings?
Nils Dennstedt & colleagues, Deloitte
(Caroline Calov Funch, Claude Chassain, Daniel Thompson, Jabir Saleh, Jiri Fialka, Nathan Pohle, Roger Simler,
Simon Walpole, Thilo Soboll, Zoran Nikolic)
Natural Language Processing Use Cases in the Insurance Industry
Floriane Moy, Milliman
Making Machine Learning Techniques Interpretable for Predictive Modelling
Xavier Marechal, Reacfin
Are Actuaries New Data or Models Quality Professionals?
Pierre Chatelain, addactis FRANCE
Keep Calm and Carry on – the Right Strategy for an Actuary in the Face of AI&ML?
Andreas Grigull, Systemorph Deutschland GmbH
When human ressources responsibles or business unit coordinators discuss the Future of Work, all of us experience certain predefined perspectives such as humans vs machines, streamlined end-to-end processes, automatized data processing, robo advice, and r
Actuaries stand at the intersection of a vast expansion in the availability of data, an exponential increase in data storage capacity, and an acceleration in machine learning and artificial intelligence (AI). RGA's Jeff Heaton, Vice President, Data Scienc
Predictive modelling in insurance is performed for many years by actuaries with the help of statistical models (e.g. Generalized Linear Models - GLM). The advantage of statistical models is that the final result is usually easily interpretable (e.g. multi
The problematic of quality is intrinsic to all data analyst. Actuaries like other professions has been dealing with completeness, uncertainty or imprecision through the evolution of insurance. Nowadays, the insurance underwriting is being challenged and i
What is AI & ML? And what are the capabilities of them today? Where are we standing in the global race for the most advanced autonomous systems? Which job qualifications will be required in the future? And which job will an actuary do in the future? W
Deep learning has experienced strong growth over the last decade due to increasingly large data sets and progress in computing capacity. Even if underlying methods were already generalized in the field of computer vision, advances in Natural Language Proc