Blogs

Natural disasters are becoming increasingly frequent in the world. Each catastrophe creates mayhem and overloads the already burdened claims settlement process. Mohit Dilwaria argues that with AI-enabled claims settlement processes deployed at most insurance carriers it would be possible to make the process more efficient and help the survivors and the companies alike.

There are inherent problems with the traditional methods of rule-based claims reserving. Our Director of Products, Gopal Swaminathan explores how Deep Learning can enhance forecasting and help allocate the right reserve amount.

As the insurance industry is looking at AI technologies to make processes more efficient and less cost-intensive, they also need to take into account the fact that machine learning algorithms need time and relevant data to learn how look at patterns and make decisions. Varun Chutani discusses the role of domain experts to do just that and also points out why available data alone is not enough for training the algorithms.

The insurance industry is undergoing a transformation by an increasingly digital world. Customers expect faster claim processing and payouts while insurance companies are looking at ways to reduce the cost of processing claims.

In part 1 of this blog, we discussed why subrogation is important and how effective subrogation positively impacts the company’s bottom…

While AI capabilities, both current and emerging, AI may seem like Santa Claus, coming in bearing gifts for all everyone…