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2025-04-01 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >
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With the rapid development of artificial intelligence (AI) technology, the intelligent era is beginning. AI will become a new type of productivity in thousands of industries, especially in content generation, enterprise services, data processing and other scenarios. As forerunners who focus on technology-driven, how will they use AI to speed up business innovation?
On October 31, at the sub-forum of the 2023 Cloud Congress "AIGC and Business Innovation" held in Hangzhou, Li Guoxing, co-founder and CEO of Moka, shared a keynote speech entitled "AI waves, reshaping the Future of Software Productivity". He also answered questions about the current trend of AI technology for productivity development, the future application scenarios of large models, and how Moka uses AI technology to help enterprises improve efficiency.
The picture shows the scene of the conference.
Insight: AI will reshape the future of software productivity Li Guoxing holds a positive and expectant attitude towards the impact of AI on industry change. He believes that in the long run, AI will certainly rewrite enterprise software in the next few years, regardless of product form and interaction, or technical architecture, will be built around a large model-friendly way, which is a paradigm upgrade for enterprise software.
Second, he believes that AI is also an intellectual production revolution. With the development and popularization of technological change, it will certainly bring about the citizenization and equality of products and services, and these technologies will be better used in education, education, and other daily life scenes that are closely related to people. and this will certainly promote a 10-fold change in the productivity of the whole market, and the opportunities for market segmentation will break out in an all-round way.
According to PricewaterhouseCoopers' forecast, global AI will bring about 100 trillion yuan of GDP growth to the economy by 2030. Under such a huge change, how to control and embrace this technology has become a problem that everyone and every organization need to think about and pay attention to.
Indeed, as a "native AI" HR SaaS manufacturer, how to make better use of AI to serve more business organizations and their employees is also a topic that Li Guoxing pays more attention to. He believes that the competitiveness of organizations in the next 10 years depends on the depth of "people + AI". Whether it is reducing costs and increasing efficiency, or building organizational competitiveness, AI can bring great value to enterprises. However, this is not just a vision of the future, but we can see what is happening now, such as the birth of Moka Eva, has tried to enable enterprises to improve the effectiveness of recruitment, and plans to cover AI technology into the global scene of human resources in the future.
The picture shows the scene of the conference.
Talking about Application: three kinds of scenario opportunities for the Application of large models
Li Guoxing, who majored in artificial intelligence, continues to pay attention to the application of large models in the business field. He listed three types of scenarios:
1. Based on the generation scenario of GenAI, GenAI brings great productivity to content creation. Because the mainstream models are trained based on large-scale public data sets, most of the time they are unable to "better understand" the characteristics and needs of users. This pain point is more obvious in the field of marketing. It will be very valuable if we can combine the content quickly generated by AI with the enterprise style and produce the content with enterprise characteristics.
2. Based on the analysis scenario of SynthAI, the most representative application of this ability to deal with large amounts of information is "semantic analysis of dialogue records", which solves the problem of efficiency in processing information. It can integrate and process information faster and help human beings make scientific decisions better and faster.
3. The robot scene based on AgentAI, Li Guoxing believes that this is not only a more challenging, but also a direction with greater market potential. Its core feature is that AI can independently complete closed-loop workflow, can use tools (API), and has a certain planning and exploration ability. A typical application is cross-border e-commerce Chatbot, which has 7x24 hour online cross-language communication ability, low barriers to use, can help merchants to respond to a variety of customer inquiries, and play a certain role of shopping guide. Similarly, there is the application of Moka Eva "employee Chatbot" in personnel scenarios to help SSC release productivity.
In addition, Li Guoxing also believes that GenAI and SynthAI have seen some examples of commercialization. AgentAI has done a good job in a small number of scenes, but large-scale applications still need some time to polish and develop.
On the one hand, large model companies such as OpenAI will continue to evolve in the Agent standard definition and model reasoning ability, which will take the first step of defining the standard. The current Next Token Prediction (NTP) model has a fundamental bottleneck to continuous complex reasoning problems, which needs to be further studied with more complex and structured data and objective functions. On the other hand, the application of Agent also needs the innovation of human-computer interaction brought by Generative UI, and we need to practice a certain degree of confidence and patience in the application of this technology.
The picture shows the scene of the conference.
On Moka Eva:5 's powerful ability to cover multiple scenarios
In 2018, Moka began to recruit specialized AI talents and NLP talents to form an AI team. "AI is a part of Moka, we solve the recruitment management and personnel management business as a whole, and the core is to solve the pain points of enterprise management in HR through SaaS products to help improve efficiency and add value." Li Guoxing said when introducing the application of Moka to AI. Based on this initial intention and continuous attention to technological development, Moka released Moka Eva, the first native HR SaaS product of AI in China, in June this year.
Moka Eva is not a single function, it is a smarter, better understand the enterprise business scenario pain points and context of the AI partner, actually help managers, hiring managers, HR, employees solve recruitment and personnel-related tasks. For example, ChatGPT's understanding of logic and content generation ability can help HR to generate the position JD. Instead of HR racking his brains to write, it can be modified based on demand generation. In the interview scenario, the video interview process can be recorded and translated into text to make a summary, which will help save time in writing the interview evaluation. It is also valuable in making recruitment decisions, and there is no need to ask the interviewer to write the interview evaluation.
The picture shows the scene of the conference.
So far, Moka Eva has launched five capabilities: intelligent resume screening, customized interview questions, AI writing interview, conversational BI and employee Chatbot. The future goal of Moka Eva is to help enterprises reduce costs and increase efficiency by improving their capabilities. Since it was officially announced and launched, more than 20 customers have conducted in-depth co-creation with Moka Eva, hoping to constantly optimize product capabilities through real HR business scenarios. One of the thousand-person Internet technology companies, which is already using Moka Eva, has data showing that they are currently interacting effectively with Eva, with an average of more than twice a day for all employees.
Li Guoxing said at the end of the speech that the technological change in AI is just the beginning. He always believes that AI will lead social development in the coming decades, and he will lead Moka to unswervingly explore and deepen the field of "AI native" HR SaaS, enabling more organizations and HR to improve efficiency.
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