Causal AI can only go far in the future if it does not aim at substitution
At the 2022 World Artificial Intelligence Conference, the "analysis report on the commercialization of artificial intelligence based on user needs" prepared by zero rhino technology and directed by the China Academy of information and communications was officially released. The report analyzes and discusses the nature of AI commercialization, the breakthrough points, technical requirements and future prospects of the next generation of AI commercialization, and puts forward constructive directions.
“In the past, the service industry was very personalized, often with masters and apprentices passing on their skills. But with artificial intelligence, in 10 or 20 years, we may see the service industry embark on the path of the industrial revolution, first automation and then scale. Now the service industry that needs 100 people may only need 10, 5 or even one person in 10 or 20 years. This will be a big trend.” Xia Zhongpu, founder and CEO of zero rhino technology, said that AI will bring about great changes in the service industry in the future, and its impact can be similar to the industrial revolution 100 years ago.
In recent years, the underlying logic of mathematics based on causality is causing heated discussions in the academic community. More and more attention has been paid to the cross application and exploration of causality. It is reported that in terms of technical support, zero rhino technology takes causal AI as the technical core and bottom base. Causal AI plays a key role in mining and restoring users’ subjective needs, preferences, intentions, decision constraints, etc.
Most of the businesses that carry out marketing operations through traditional methods are supported by large enterprises such as insurance, banks and operators through third-party companies (BPO companies). BPO companies that undertake this kind of business usually have thousands of people and thousands of seats under management, with low human efficiency and meager profits. How to improve the efficiency and effect of these companies' sales transformation has become an urgent problem to be solved. The causal AI service architecture of zero rhino technology has achieved many practical results.
At present, Zero Vision technology has built a technical business team of hundreds of people to improve the operation effect through cause and effect discovery, decision reasoning intelligence, etc., and divide it according to the improved effect and customers to complete the end-to-end sales transformation business. Since its establishment four years ago, zero rhino technology has been applied in finance, insurance and other fields, and some scenarios can achieve a 3-5-fold improvement in human efficiency, which is the highest value in the industry at present. Xia Zhongpu said: "we are different from the suppliers of intelligent customer service robots. We do not aim to replace people, but define our direction by assisting people."
AI has penetrated into all walks of life, but there are still disputes in the industry about the positioning of AI and its future development direction. Whether it is an assistant or a substitute is fundamentally different. Xia Zhongpu believes that at the stage of technology development for a period of time, AI can not really replace people in many application scenarios. "To strengthen and assist people through AI will be the development direction of AI in the future. In such a technological wave, causal AI and service industry scenarios are deeply integrated, and the development of high-quality value creation in industrial practice also ushers in new opportunities."