New Self-learning Algorithm “Facio” Immunizes Against Insurance Disruptors
To put the numbers in perspective, consider that average traditional insurance carriers have about 900 policies per employee. Lemonade breaks the numbers with more than 2,500 policies per employee. Insurers have been using BigData and AI for years, implementing operation automation and predictions designed by software developers and data scientists in concert with knowledgeable human actuaries and underwriters. Yet, the numbers are far away from Lemonade's efficiency.
"Data science, as we know it, is soon to be a thing of the past," says Liav Geffen, Facio CEO. "When you have all the available data, you don't need prediction, the self-learning algorithms outperform any human expert."
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Traditional carriers hold a data treasure, which is an incredible asset that can only be leveraged by using BigData technology. Facio calculates tens of millions of historical policies and all available data simultaneously, in real-time, to determine the personal coverage that a prospective customer is going to buy, at the premium he is most likely to pay for.
While investors'
Media Contact:
Liav Geffen
Email: liav@facio.io
View original content:http://www.prnewswire.com/news-releases/new-self-learning-algorithm-facio-immunizes-against-insurance-disruptors-301003056.html
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