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COVID-19 has shown us that technology can rapidly evolve to meet customer needs, in areas from contactless payments to digital banking to mobile wallets. However, we still see great disparities when it comes to the use of contactless and digital banking by low- to moderate-income (LMI) workers. The question is, will emerging tech in the post-COVID economy provide an opportunity to include new people in the financial system-- or leave them even further behind?
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Artificial intelligence (AI) is increasingly gaining ground in a number of areas of banking and financial services. It’s deployed to identify fraud, make trading decisions, recommend banking and financial products, and evaluate loan applications. This helps to reduce the costs of financial products and improve their efficiency and efficacy. However, there is growing evidence that AI systems are biased. Join American Banker’s Executive Technology Editor, Penny Crosman as she explores key AI-bias issues for the banking and financial services industry with Sonja Kelly, Director of Research and Advocacy at Women’s World Banking and Wisam Dakka, Co-Founder of Meemo.
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To understand how the idea of dynamic risk assessment works, we first need to unlearn certain assumptions.
August 28RGA -
Predictive analytics also on the rise in the line of business, Milliman finds.
February 14 -
More than 1,000 customers in the line of business have taken advantage of the new program.
November 26 -
Risa Ryan joins the company from Munich Re America.
July 2 -
Approaches such as analytics, artificial intelligence and smart phone apps aim to improve care and save money.
June 28 -
Northside Hospital in Atlanta is adopting machine learning technology to enable the organization to predict when insurance companies will end payments.
June 26 -
A new study finds that within the next two years, all large and midsize carriers will use predictive analytics in their group life operations, while nearly half of small insurers will deploy similar capabilities.
June 19