On July 6, during the World Artificial Intelligence Conference, the "AI Pilot, Build the Future Together" forum hosted by China Pacific Insurance was hit! The forum focused on three directions: China's new digital intelligence practice, looking forward to the new blueprint of science and technology, and leading the new development of the industry. The forum brought together Baidu, Alibaba, Huawei and other well-known institutions and experts and scholars to discuss the latest development and application of large model technology. CPIC focuses on the frontier of big models, sharing the latest innovations, experiences and insights.
According to the Mainland Academy of Information and Communications Technology, the scale of the core artificial intelligence industry in mainland China will reach 508 billion yuan in 2022, a year-on-year increase of 18%. AI technology is penetrating all walks of life at an astonishing rate, profoundly changing the way we live and work.
With the global subversion of artificial intelligence application technology represented by Chat-GPT, AI technology has swept into the financial field, and in the view of China Pacific Insurance Group, it is no longer a simple intelligent customer service, but also used in RPA+AI, intelligent decision-making hub, digital labor and other operation management fields.
It is reported that in recent years, CPIC has increased the layout exploration and application research and development of new technologies such as artificial intelligence in the process of digital transformation, and has achieved a series of scientific and technological achievements. At the forum on July 6, CPIC announced the establishment of "Insurance Digital Workforce Ecological Cooperation" to achieve win-win cooperation among ecosystem partners, focusing on the release of three representative benchmark products, including Black Light Factory, Digital Decision Center and Digital Employees.
Three benchmark products in one ecosystem represent the latest application achievements of China Dabao in the field of artificial intelligence in 2013.
In his speech at the forum, Yu Bin, Vice President of CPIC, said that financial institutions such as banking and insurance conform to the development trend of the times of scientific and technological innovation, actively integrate into the overall situation of the development of the digital economy, and actively explore the application practice of large-model technology in the industry, so as to lay out a new track and shape future competitive advantages. CPIC is actively carrying out the construction and application of large models in the insurance field, and in terms of implementation strategy, it will take "realizing digital labor" as a breakthrough at this stage, explore and study the tradable digital labor force in the insurance field, release ordinary mental workers, enrich them into more innovative positions, and improve productivity.
At the same time, Yu Bin announced that in the future, he will adhere to co-construction and sharing, cooperate with leading technology enterprises and internationally renowned consulting companies to carry out cross-border ecological cooperation, and jointly launch the "insurance digital labor scene ecology". Continuously improve the breadth and depth of AI applications in the financial and insurance industry, and achieve win-win cooperation among ecosystem partners.
The insurance AI ecosystem initiative proposed by CPIC received the first response from well-known enterprises such as Baidu, Alibaba, Huawei, iFLYTEK, Lianren Health, Fudan University, Shanghai Jiaotong University, and Wuhan University.
The black light factory illuminates the future of CPIC Property & Casualty
As the first benchmark product released, the Black Light Factory has had a significant impact on the intensive operation of CPIC Property & Casualty.
The "RPA Black Light Factory" is an intensive process automation operation platform operated by CPIC P&C, the core of which is that AI robots mimic human operation behavior and perform repetitive rule-based tasks through computer programs 24 hours a day.
Wang Lei, CIO of CPIC Property & Casualty, said that in the future, all institutions will compete in two spaces, one is the competition of the traditional insurance value chain, from product design to exhibition to insurance policy, to claims and services. The other piece is called the digital space, including perception, cognition, and decision execution, as long as we effectively build what we call the digital matrix, we can effectively compete with peers.
It is understood that as early as 2018, a black-light factory was piloted in the Shanghai headquarters to automate the insurance business process through RPA tools; In 2020, CPIC Property & Casualty officially deployed the large-scale application of RPA. On April 20, 2021, CPIC Property & Casualty's "RPA Black Light Factory" Shanghai main plant was officially put into operation, and then three branches were established in South China, Chengdu and Shandong. Since then, CPIC's AI application has entered a systematic and large-scale stage from sporadic operations on all fronts.
Wang Lei said that with the gradual maturity of AI technology, AI has become one of the most effective technology empowerment tools in the insurance industry. In leading property insurance institutions such as CPIC Property & Casualty Insurance, AI applications have extended from point-like innovation to systematic in-depth applications.
At present, the 120 robots in the Shanghai headquarters of CPIC Property & Casualty's "RPA Black Light Factory" alone can operate more than 440 RPA products at the same time, including 230 active products, covering almost all business lines of property insurance.
Wang Lei introduced that the country's black light factories will have more than 800 new RPA modules online in 2022, with a cumulative active module of more than 1,000, according to statistics, last year the entire RPA is equivalent to saving more than 100 manpower, which is a very considerable cost saving.
Life Insurance Smart Brain: The decision-making hub covers the whole process in the next three years
Sun Gufei, chief expert of big data at CPIC Digital Intelligence Research Institute and head of digital intelligence application of CPIC Life Insurance Technology, introduced that in the past three years, CPIC Life has actually been laying out digital construction, building a customer-centric digital and open insurance technology system, and put forward the 1234 technology strategy, which is carried out from four aspects: improving science and technology infrastructure, precipitating scientific and technological capabilities, integrating digital middle platform and building digital tools.
In the future, the new form of life insurance digitalization should be people-oriented, and we can see what kind of new experience and new business form the future will bring to them from the three core roles of life insurance: customers, agents, and back-office.
In order to meet the different experiences and needs of the three types of roles, it can be seen that it is not a single technology that can be realized, it requires CPIC to build a complete set of new digital blueprints.
After layers of research and simulation, CPIC Life Insurance finally decided to build a digital decision-making hub, which can integrate multiple capabilities based on scenarios, and carry out multi-task collaboration, and then support operational risk control, marketing and other scenarios.
Sun Gufei said that CPIC continues to migrate intelligent capabilities at the entire central level, and the total daily average decision-making has reached 120,000+, which is currently mainly focused on the application of operation, risk control and business recommendation.
Sun Gufei emphasized that in the next three years, with the completion of the digitalization of CPIC Life Insurance in the whole country, the business scenario empowerment of the digital decision-making hub will gradually move from a single point to a full process and full coverage of the business.
Take one-for-ten digital employees
Xu Guoqiang, chief expert of artificial intelligence at China Pacific Insurance Digital Intelligence Research Institute, said that with the disappearance of the demographic dividend, enterprises are actively seeking the transformation of labor employment mode, and the traditional employment model makes enterprises face many challenges such as labor shortage, rising costs and insufficient human efficiency.
CPIC's first application based on a large model was the digital workforce.
Wang Lei, president of the China Pacific Insurance Institute of Digital Intelligence, said that this project has been continuously developed for more than a year and finally put into practice.
Digital employees can be abstracted into three systems, including information systems, responsible for interacting with the environment to obtain information; The model system can understand and think about the problem and propose solutions, and needs to have the ability to plan the task, and turn the task into a plan; The action system will obtain a planned plan to achieve the mission objectives through certain actions.
CPIC creates a large model of the pedestal of the digital workforce. Through the pedestal model, digital employees can be empowered to have stronger capabilities. By creating a large model of the digital employee base, it empowers digital employees with self-planning and task execution capabilities.
Wang Lei introduced that when sending task instructions to digital employees. According to the content of instructions, digital employees can quickly parse task intent, complete planning and split tasks, and generate corresponding task codes according to the split tasks, and complete task processing through code execution. The digital employee base model, which enables systematic modeling of business personnel, is the key to the successful alignment of digital employees with real employees in terms of thought, action and professional ability.
According to reports, at present, digital employees have been piloted in the audit center of CPIC Group, and a number of audit digital employees such as audit inspection, document quality inspection, and consultation and Q&A have been constructed, and through the working method of digital employees and real employees, it will help improve the efficiency of audit supervision, improve the quality management effect, improve the control of audit projects, and fill the shortage of audit manpower.
At the forum, Wang Lei showed the working scene of digital employees in the audit department, if the audit department needs to conduct a normative check on the format and content of 100 audit reports, that is, to instruct the digital employees to describe the tasks and send the audit reports that require quality inspection to the digital employees.
After opening the file, the digital employee will query the relevant requirements of audit quality inspection, check 50 rules, and after screening out the problem, the problem will be marked and the cause of the problem will be summarized. After completing the task, the digital employee will send the results to the employee for review, and through the cooperation with the digital employee, the quality inspection time to complete a report is now reduced to one-tenth of the original, and the problem detection has become more accurate and efficient.
Wang Lei said that in the future, CPIC will continue to and stably optimize the capabilities of digital employees around the large model of digital employee base, and realize the large-scale promotion and application of digital employees.
Insurance digital workforce ecology
Since its establishment, CPIC Technology has continued to focus on cutting-edge technologies such as artificial intelligence, big data, and cloud computing, focusing on the three directions of digital management, digital operation and digital technology, building a technology-enabled product system and creating a value delivery system of "insurance + technology".
Xu Guoqiang said that to launch the insurance digital labor ecology, our vision is to model ordinary mental workers through large models to form a tradable digital workforce, so as to release ordinary intellectual workers in insurance business activities to positions that need more innovation and improve overall productivity.
It is understood that the construction of digital labor force faces three major challenges, the first is that the technology of modeling people is not mature, and the second is that enterprises do not have the corresponding digital working environment; Third, the deployment and replication cost of the digital workforce is relatively high.
Xu Guoqiang said that the reason why CPIC established the insurance digital workforce ecosystem is to work with leading technology companies and internationally renowned consulting companies to formulate R&D roadmaps to overcome these technical barriers and business application scenarios.
In the future, CPIC will focus on big model technology to steadily and continuously optimize the capabilities and levels of the digital workforce, promote the intelligent optimization and efficiency improvement of the whole process of insurance business, and provide a new paradigm for the digital transformation of the insurance industry.
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