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Shelia Anderson
Shelia shares how using AI and ML to automate routine insurance claims frees up staff members to spend more time serving customers and processing more complex claims.
AI - AGI, Insurance, Learning, Me Myself and AI, Podcast
The European Insurance and Occupational Pensions Authority (EIOPA) has identified Digital Transformation as one of its strategic priorities
A: Directors-Owners, EU (European Union), Insurance, Strategy, Sustainability
Accenture's report reviews what insurers should know about the Metaverse which will reshape the insurance business over the next 5 to 10 years
Accenture classics, Insurance, Metaverse
The actuaries have developed innovative risk prediction methodologies, decision nodes, regression models and machine learning (ML) to identify risk profiles of patients who may be at higher risk of developing prescription drug abuse.
Insurance, USA
Actuaries love data, and today data is more readily available than ever before. Our ability to analyze them and use them grows more and more over time; However, we get them for the purpose of using them - and they don't come cheap. Therefore, deciding which data to buy is critical. This article is a continuation of the article When is Your Own Data Not Enough? and deals with the question of where the data we need comes from and how to use it.
Data, Insurance
People have 'gone digital'. Even the most reluctant did it out of curiosity or necessity: working from home, meeting online, shopping online, ordering takeout instead of eating out. Of course, this is also the new norm for insurance companies, and hence the debate about data and ethics is very topical in this challenging time. All of these lead to the importance of digital responsibility in insurance, and this has three main chapters that must be touched on: big data in the insurance field and its analysis, digital ethics in the insurance and pensions field, and the role of actuaries in the digital age.
Insurance, Israel Actuary Association