Artificial intelligence is experiencing a new wave of development. A leading company is turning to an AI agents support platform, combining 4th generation AI models with specialized corpora to achieve business innovation. AI Agents is expected to inject new vitality into the business field and demonstrate the potential and business value of artificial intelligence. With the development of the platform, new AI agents have emerged to provide professional, high-end, personalized, large-scale, and sustainable services. The AI revolution encompasses the areas of Generative Content (AIGC) and Generative Services (AIGS). The insurance industry is facing challenges, and breakthroughs in AI have brought new directions to address them.
Analysis of the key issues in the insurance industry in the face of AI change:
It is recommended to adopt the "U-shaped thinking" method, starting from the initial problem and digging deeper into its essence to find a precise solution. By focusing on the main cause and making the necessary ascending abstractions, the root cause of the problem can be found and the problem can be generalized.
Construction of a reference system for the insurance industry:
It includes focusing on six major directions, analyzing the technology cycle and cultural adaptation, and the impact of the meso-cycle on industries and industries. At the same time, it also emphasized that AI technology has a far-reaching impact on the insurance industry, which will change the operating model and service efficiency and quality of insurance companies, and provide important support for the scale of services. In the future, with the continuous development of technology, AI technology will promote the change of the value law of the technology industry, and pay more attention to application innovation and service improvement.
Advantages and capabilities of insurance companies in the application of AI technology:
Insurers can improve operational efficiency by analyzing their strengths and leveraging AI technology, including product design, marketing, underwriting, and claims. The streaming session capability of the AI application R&D framework can improve the efficiency of front-end and back-end development.
Insurers can refer to the application of AI technology**:
Through methods such as the Value Flywheel, Value Web, and Canvas, organizations can better understand business logic, identify key drivers, and achieve more holistic optimization. These methodologies provide effective tools to help companies clarify their thinking, identify the core drivers of business development, and establish a clear strategic logic. At the same time, the canvas method can present the various elements in the value network in a graphical way, revealing the relationship and interaction between them more intuitively. These methods can improve the operational efficiency and value creation of the enterprise, and avoid the dependence on the old value network, continuously optimize and improve the value network, and achieve greater efficiency and value.
This article is for general information purposes only and is not intended to be relied upon as accounting, tax, legal or other professional advice. Please ask your advisor for specific advice.