addactis Blog
Our experts share with you their views on the major challenges of the insurance market.
Access to addactis Experts’ Papers
Why is non-life Insurance not taking off in Africa?
Why is insurance in Africa not fulfilling the economic, financial & societal roles that it is being asked to play? What is the reason for this failure?
The Top 6 Myths of Non-life Pricing Insurance
We have identified 6 pricing myths that seem to be strangely persistent and widespread among all types of non-life insurance companies.
addactis® IFRS 17 solution: Performing a Proof of Concept in 2 weeks
Our standard solution allows us to perform a proof of concept, from data transformation to the creation of the journal entries, in two weeks. Read our Press Release.
Addactis to launch IFRS 17 data manager tool
addactis® plans to launch a data manager tool and other features later this year to further assist insurers’ implementation of IFRS 17. Interview of Stéphanie Dausque, CEO of ADDACTIS Asia, with InsuranceERM.
addactis® and Volada support HANSAINVEST
Following the successful implementation of Solvency II Tripartite Templates, HANSAINVEST Hanseatische Investment-GmbH is now able to complete its reporting according to the German Insurance Supervision Act (VAG) and the Capital Requirements Regulation, based on the software and services platform provided by addactis®.
ADDACTIS announces its new governance
Addactis announces its new governance. Virak NOU is appointed President & COO. Focused on a unique business model combining actuarial expertise and software edition, ADDACTIS – the RiskTech for Insurance – is implementing a new governance which aims to improve transversality and reinforce R&D focused on both Actuarial Science, Analytics and Technology. Discover the new governance of Addactis.
Advanced SIRD modelling and reprocessing COVID-19 data issues
Advanced SIRD modeling allows to jointly project symptomatic and asymptomatic contamination cases.
Comparisons of case-fatality rates
The case-fatality rates: why should comparisons between countries be put into perspective?
Modelling of epidemics through machine learning
Health Impact of COVID-19: From Epidemiological Modelling to Machine Learning
