The future of finance: New age technology or new skills

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?

“When the speed of change on the outside is faster than the speed of change on the inside, it means you are running intro trouble,” says Pietro. Large enterprises need to change their core and adapt their business model to the ever-changing customer needs and the fast-paced market. But how can they do this? Fill in the form to watch the full episode.

The insurance industry has embraced data analytics to drive business results. Using large warehouses of internal data, augmentation from third-party providers, and big data sources, data analysts are driving product R&D, predictive modeling, and influencing strategy at all levels of the organization. However, many insurers are still dealing with the challenges of diverse core systems with little data integration and limited agreement on what data assets mean. This webinar covers current insurer experience, case studies of successful initiatives, and best practices in developing a data and analytics strategy.

On-board sensors, telematics and wearables present ample opportunity for carriers and their insureds to collect and put to good use loss-prevention data. However, the Holy Grail in this endeavor is sharing that data in a transparent, collaborative way.