Introduction

Have you ever imagined how your insurance company transforms from a manual process into a digitized one? Or have you pondered on how your customers can sign up for a new insurance policy or get a claim reimbursed without any time-consuming paperwork or bureaucracy?

If you have answered yes, you are in the right place. Artificial Intelligence has its presence in all the sectors from retail to manufacturing to digital marketing and is also likely to affect the insurance industry. It holds the capabilities to transform how the business operates today. Influenced by gigantic national brands and legacy product lines, the insurance market hasn’t developed in decades. AI is enabling insurance companies to apply machine learning algorithms to the legacy processes to improve claims handling and enhance customer experience. With automation already affecting the insurance industry, significant changes to the insurance industry are imminent. Read the full article to see how AI trends are helping in shaping the future of the insurance industry.

AI Trends for the Insurance Industry

Artificial intelligence has gained enormous popularity over the past few years. Automation, machine learning, predictive analysis, and chatbots are applications of AI that allow computers or programs to interpret and analyze data. Because of advancements in technology, all sectors (public or private) are harnessing the power of AI to perform tasks that previously required manual efforts like decision-making, language translation, speech recognition, etc. 

The insurance industry has never stayed at the forefront of innovation and technology. But over recent years, the insurance industry has also started implementing AI practices into their business processes. But AI has still only scratched the surface. There are hundreds of opportunities that can be unlocked by implementing AI into their business processes. In addition, there are various areas in the insurance industry where AI could be game-changing and significantly improve the business process—for example, enhancing customer experience, personalizing insurance claims, etc. 

Data Explosion from Connected Devices

The capability to initiate new, revenue-generating services from IoT has a huge advantage such that the potential of IoT-based insurance services can help drive its adoption. The number of consumers will increase in huge chunks and result in new data via new product categories, real-time service delivery, and personalized pricing. For example, AI can help insurance companies to get Information about a person’s location, age,daily routine,medical history, and the likelihood of filing a claim. Insurance companies can use this data to set premiums that suit their needs.

Advancement of Physical Robots

The field of robotics has undergone several changes recently, and technology will continue to change how people collaborate with their surroundings. The development of “3-D printing” will be reshaping the insurance market soon. By 2025, 3-D printing will become common, and carriers will be assessing how this technology changes risk assessments. Enhanced surgical equipment, self-driving vehicles, drones will be taking over the industry. Insurance companies need to understand how the advancement in robotics will change the customer experience and enable new products. For example, chatbots can offer 24-hour assistance and provide a personalized experience where humans can fail.

Cognitive Technology Development

Deep learning and neural networks concepts are being utilized for speech and image processing and applied in various applications. These cognitive technologies are based on the capacity of the human mind to learn through inference. This approach will become standard for processing data from insurance products attached to a person’s conduct and activities. This approach will give insurance companies an upper hand in developing self-learning models and can adapt to the people surrounding them. For example, creating new product categories, creating personalized products or plans, etc.

Benefits of AI for the Insurance Industry

Pricing & Underwriting

One of the most profitable ways where AI can upgrade the insurance industry comes under underwriting and pricing. Transitioning the process of underwriting from hours to a few seconds has been hugely dominated by an automated combination of Machine Learning and Deep Learning Models. The Information collected from the vast data enables insurers to make reliable decisions tailored to the buyer’s risk and coverage needs. As a result, the insurance companies can now price their policies more accurately and competitively for each customer.

Claim handling

Insurance companies spend a lot of money on insurance prices, and claims personnel escalate for case-solving. Advanced algorithms of AI handle the initial claims routing, thereby increasing its accuracy and efficiency. Using AI, an insurance company can decrease its hiring expenses by automating time-consuming payouts and claim management. Therefore, the time needed to process these claims is reduced from days to hours or even minutes, thereby providing customized contracts for the customers.

Conclusion

Machine learning combined with complex AI algorithms holds the ability to transform any industry and make it richer. With AI, there are endless possibilities, and it is only a matter of time before we start seeing the insurance industry making progress.

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