It is increasingly evident that many of the trends predominant in the insurance industry They are not sudden advances but the natural progression of existing innovations. According to how the sector has been maturing in the integration and application of each one to achieve greater operational efficiency and strengthen relationships with customers, We consider these five guidelines for work:
The generative artificial intelligence is ready to transform the industry by improving risk assessment, optimizing processes and improving customer experiences. With a recent boom in its use and popularity, it is expected that Its impact on the professional landscape this year will be even more significant.
Able to handle the analysis of high volume information and unstructured data, will be used for predictive modeling, policy summary and data analysis. This will lead to more personalized marketing campaigns and automated processing, driving progress in hyper-personalization, generating greater customer engagement by creating products tailored to each customer and personalizing marketing campaigns to effectively deliver product information.
Although it is not something new in the insurance sector, it is expected that the impact of the AI together with advanced analytics continue to grow and offering significant potential. The focus will be on the adoption of the AI-powered analytics combined with automation. The use of real-time data to Stimulating insurance analytics market automation and operational optimization will improve predictive pricing models and will adapt them to the needs of each client by improving their underwriting processes as well as risk assessment.
In addition to improving efficiency and customer satisfaction, will also significantly reduce fraudulent claimsmaking the insurance process more efficient and reliable for both providers and policyholders.
He insurance sector has been implementing process automation (RPA) for years, but now the emphasis will be on making sure automation adds value beyond just optimizing time and costs. Hyperautomation will become increasingly relevant, which will maximize the use of information in different areas of the company, from industry-specific data to ERP, CRM and other internal sources. An increase in sales volume generated by automating customer acquisition through various channels is also expected. These automated processes will include defining coverage, signing contracts and managing claims, all handled seamlessly.
The Adoption of “Cloud Computing” in the sector will continue to grow focusing on improving scalability. Insurance companies are increasingly taking advantage of data and artificial intelligence platforms to optimize data managementimprove policy underwriting, detect fraud and improve customer experiences.
The change towards Cloud adoption is a key part of industry modernization efforts by allowing significant improvements such as data acquisition speed. The digital transformation, backed by cloud computing, is crucial to delivering a superior and more complete customer experience. Therefore, companies that delay this transition may fall behind their competitors.
The Modernization of “Core” insurance to meet the market demand for speed is a strong trend. Many insurers still use obsolete “Core” architectures, compromising their operability.
The modern architectures They focus on the application of services, which allows much shorter times to market and benefits the entire sales and customer management cycle. The Insurers are focusing on migrating to new versions of their “Core” that are cloud-based and modernized, or looking for new solutions. They are also adopting low-cost practices. “low-code/no-code” to quickly build new capabilities or facilitate integration with other services.
Finally, highlight the embedded insurancewhich are transforming the industry by allowing partnerships between non-insurance companiessuch as automakers and retailers, and insurers to provide coverage directly at the point of sale, targeting a significant $900 billion market opportunity by 2040. This innovation moves away from traditional and inflexible models by generating dynamic insurance based on use, which adjusts to individual needs, offering timely and integrated protection within daily activities.
Key technologies such as ‘Cloud Computing’, artificial intelligence and ‘Machine Learning’, along with the API, he blockchain and the IoT, are essential for facilitate embedded insurance.
These technologies enable real-time data sharing, scalability, personalized services, enhanced security and efficient claims processing, paving the way for development and strategic decision-making in the burgeoning field of integrated insurance. Insurers are encouraged to collaborate with digital enablers to leverage these technologies and thrive in the expanding integrated insurance market.
These trends were at one time innovative developments for the industry, but now they require a maturation and constant refinement to remain competitive. The adoption, or more precisely, the increasing maturity of organizations in areas such as artificial intelligence and cloud computing, underscores the deeper commitment to customer centricity, operational efficiency and adaptability.
*Global Director Offer, Partnerships & Innovation Healthcare & Insurance at Softtek
Source: Ambito
