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AI

The insurance industry has data at its centre.  Data is gathered in large amounts on a daily basis. In addition, this process happens at a tremendous speed.  AI and machine learning are transforming the industry. Human-like machines are thus being built.

According to surveys, humans do not, however, mind interacting with a bot.  Consumers are satisfied to get computer-generated insurance advice.

Tata Consultancy Services has invested $124 million in AI. Other industries invested on average $70 million.

Many claims, customer queries and huge amounts of data resulting in the insurance industry being a natural use case for AI.

* Claims are handled rapidly;
* AI identifies patterns in data and can, therefore, find fraudulent claims;
* The collection of this data helps with risk evaluation;
* Powered chatbots replace human assistants. This results in fast and efficient customer service;
* Chatbots are able to obtain customers’ geographic and social data. This increases personalised interactions;
* Wearable sensors will lower premiums for less risky behaviour. This includes driving and exercising.

Claims can be forwarded through a mobile app, photos taken of the accident and the claim submitted instantly. Trained algorithms via pictures from past claims can estimate the cost of damage.

Siri, Alexa and Google have become part of our daily lives. Through voice recognition, tones and emotions can thus give clues regarding customer service and fraud detection.

In addition, by means of past pattern analysis and actions, AI can recommend suitable action to management on how to retain a customer. Furthermore, additional recommendations can be made in which additional insurance products to sell to the client.

A Gartner report furthermore predicts that by 2020, 85% of interactions with customers will occur without human involvement. In addition, the savings by using bots instead of humans would be passed onto the consumers by means of cheaper premiums.