The inseparable duo of underwriting and pricing has just found its third partner - automation. In a Research and Market report, The automated machine learning (AutoML) industry was valued at $346.2 million in 2020. The industry is estimated to grow by 4283% to $15 billion in ten years. Yet, a 2020 Accenture report shows that 85% of customers are not satisfied with the speed of the underwriting process. The implementation and evolution of AutoML can speed up that process and significantly increase the customer experience and gain you customers. But where is this technology headed? What are the barriers? And how can we best ride the wave of an evolving automation landscape?
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One of the most troubling challenges of public records searches is the high rate of false-positive results – especially when certain PII, such as Social Security Number, is not included in the search input. When false positives run rampant, insurers are far less able to implement automation processes because adjusters must manually re-check information.
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Forces disrupting the financial leadership and the evolving role of today’s CFO, Virtual Finance Management – Possibility of virtual real-time visibility into the state of business with access to all relevant information and Role of technologies such as Data Analytics, Automation, IOT, etc., in transforming the finance function
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