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Applying data science in the life insurance industry -- a perspective from a qualified actuary
To summarise, this use case presents a way for actuaries to automatically classify free-text claims causes data into pre-defined categories for further analyses. Ultimately, with the help of BERT, computers are able to understand human language. For this instance, computers are able to understand and compare medical terms or description of a claims event, which can be messy at times. The alternative which is manual filtering in Excel is not practical, especially for large number of claims. As mentioned previously, Excel has been the primary ETL tool for most life insurance actuaries.
- Health & Medicine > Therapeutic Area (1.00)
- Banking & Finance > Insurance (1.00)
Why Most of Us Fail to Grasp Coming Exponential Gains in AI
By now, most of us are familiar with Moore's Law, the famous maxim that the development of computing power follows an exponential curve, doubling in price-performance (that is, speed per unit cost) every 18 months or so. When it comes to applying Moore's Law to their own business strategies, however, even visionary thinkers frequently suffer from a giant "AI blind spot." I give a lot of talks to successful, strategically-minded business people who can see around corners in their own industries, yet they struggle to grasp what exponential improvement really means. And a lot is riding on this exponential curve, but one technology that is particularly benefiting from it is artificial intelligence. One reason people do not grasp how rapidly artificial intelligence is developing is so simple it's almost laughable: Exponential curves don't fare well when we humans try to capture them on paper. For very practical reasons, it's virtually impossible to fully depict the steep trajectory of an exponential curve in a small space such as a chart or a slide.
Why Most of Us Fail to Grasp Coming Exponential Gains in AI
By now, most of us are familiar with Moore's Law, the famous maxim that the development of computing power follows an exponential curve, doubling in price-performance (that is, speed per unit cost) every 18 months or so. When it comes to applying Moore's Law to their own business strategies, however, even visionary thinkers frequently suffer from a giant "AI blind spot." I give a lot of talks to successful, strategically-minded business people who can see around corners in their own industries, yet they struggle to grasp what exponential improvement really means. And a lot is riding on this exponential curve, but one technology that is particularly benefiting from it is artificial intelligence. One reason people do not grasp how rapidly artificial intelligence is developing is so simple it's almost laughable: Exponential curves don't fare well when we humans try to capture them on paper. For very practical reasons, it's virtually impossible to fully depict the steep trajectory of an exponential curve in a small space such as a chart or a slide.