Big data industry innovation service media
——Focus on data and change business
On August 23, Tianrun Rongtong officially released "Weiteng Big Language Model Platform 2.0".
"Large model + enterprise knowledge = enterprise knowledge engineering".
"Enterprises that cannot effectively record and manage knowledge cannot continue to improve. In the production process of an enterprise, compared with other scenarios, customer contact scenarios that run through the entire cycle of marketing, sales, and service are particularly dependent on knowledge accumulation. Whether it is marketing personnel, customer service personnel, after-sales personnel, including voice and text robots, they all need to master a lot of proprietary knowledge. The accumulation and effective application of these proprietary knowledge has always been a problem that plagues the industry. Today, the emergence of large models It provides a powerful underlying tool for enterprise knowledge management. Therefore, as a vertical large-scale model in the customer contact scenario, the Weiteng large language model platform takes enterprise knowledge management as a breakthrough, and consolidates the foundation of enterprise knowledge to serve marketing, sales, services, etc. Intelligent empowerment of each process" . Wu Qiang, founder and CEO of Tianrun Rongtong, explained the positioning of the Weiteng big language model platform and its value to enterprise customers at the press conference.
Anchor the three major values to help enterprises grow
Wu Qiang said that enterprise knowledge is the key driving force to promote enterprise development, and it is also an important basis for enterprises to gain advantages in the fierce market competition. Through effective knowledge accumulation and knowledge management, enterprises can achieve new breakthroughs in operational efficiency improvement, cost lean control, market insight, and decision- making assistance .
Enterprise knowledge mainly includes three categories:
First, the original knowledge of the enterprise
It usually includes FAQs on the contact process accumulated in the early stage of the enterprise, high-frequency customer questions, agent gold medal speaking skills, etc. However, these data are usually lagging behind and urgently need to be aggregated and tailored. It is no longer able to help agents give customers the latest and most accurate answers, nor can it support enterprises to complete effective operational analysis and operational optimization.
Second, enterprise documents
In the process of development, enterprises have accumulated a large amount of product manuals, equipment maintenance guides, supplier management systems, etc., and these information have been increasing and iterating over the years. In the past, they could only rely on artificial memory and recording of these massive and in-depth information . Effectively respond to customer problems in actual business.
Third, session information
A large amount of conversational information will be generated in scenarios such as enterprise pre-sales consultation and reception, sales opportunity conversion, and after-sales service. Such information often hides huge commercial value.
These three types of corporate knowledge connect business scenarios such as marketing, sales, and service. These scenarios are important areas for the implementation of innovative technologies, so all enterprises expect that the value of these three core scenarios can be more tapped. However, most enterprises do not do a good job in the management of enterprise knowledge, and have not found an effective way to activate it. The emergence of the large model provides a reliable "connector" between corporate knowledge and customer contact, and finds a new breakthrough for corporate growth.
The large model liberates people from repetitive work forms and improves people's ability to deal with innovative and complex work. Let the business flow realize automatic flow, and the data of customer contact can be deeply excavated and analyzed, so that the breakthrough of enterprise growth can be transformed from improving the external work intensity to improving the internal ability.
Witten big language model platform
Will provide three major values for enterprise growth:
Value 1. Efficient assistance, the value of human-machine fusion is completely magnified
"Human-machine integration" will release more productivity in business scenarios such as customer service reception, conversation analysis and extraction, and automatic form filling. When facing complex problems, make full use of the Witten big language model platform to give full play to the creative value of humans; when facing simple scenarios, improve the robot's ability to handle repetitive and basic tasks. This collaborative method can realize human- machine Complementary advantages and amplifying value output.
Value 2. Knowledge is an important foundation for driving enterprise development
If the knowledge mastered by the staff in different links is inconsistent, efficient collaboration is impossible to achieve. Therefore, first of all, we must ensure the unity and effectiveness of the enterprise knowledge system; secondly, the effective activation of enterprise knowledge allows people and machines to quickly find the required information with the help of the knowledge base during business flow, improving work efficiency and service quality; At the same time, the content in the knowledge base can be generated into training courses or tutorials to provide employees with professional training and learning resources. Knowledge-driven enterprise development can provide customers with better products and services.
Value 3. Insight into the business value hidden in massive data
The Witeng big language model platform is deeply integrated with BI, which aggregates, cleans and analyzes customer dialogue data and business operation data in all directions. Realize precise insight into customer voice, incoming line intention, high-frequency problems, gold medal speech skills, service level, service efficiency, customer satisfaction, customer emotion and other dimensions. Through in-depth analysis and insight into large amounts of data, companies can more accurately understand customer needs and expectations, thereby optimizing their marketing strategies, product design, and customer service.
The Weiteng big language model platform can effectively "smelt" corporate knowledge, and corporate knowledge will be an important asset for the future development of the company.
Open up the last mile, thousands of industries grow together
Tian Fengzhan, Chief Scientist of Tianrun Rongtong, also made relevant speeches at this press conference. He said that in the era of AIGC, every enterprise must have a large language model to establish its competitive advantage. This is the trend and the future.
With the continuous development of technology, the general large language model has been widely used by C-end users to help them solve problems encountered in daily work or life. However, the general large language model is aimed at general knowledge, and can only effectively deal with common problems and general contexts. It is difficult to effectively and effectively deal with the unique business models, audience groups and industry knowledge of different industries and enterprises. reliable. Focusing on the B-side, there are also many problems in the application of general-purpose large models, such as data security, customization, cost, and business matching. Therefore, we need a vertical large model in the customer contact scenario to solve the last mile problem when the general large model actually lands.
The Weiteng large-scale language model platform released by Tianrun Rongtong this time is positioned at the last mile to get through the commercialization of general-purpose large-scale models. It is a vertical commercial large-scale model platform in the customer contact scenario. The company has long-term business and technical practice in the field of customer contact, which has laid a solid industry knowledge foundation for the launch of the Weiteng large language model platform.
Long-term technology accumulation:
Continue to innovate and evolve in the field of AI technology, and combine customer application feedback to continuously improve and complete the word vector model, semantic classification model, sequence tagging model, semi-supervised/weakly supervised model, AIGC paraphrase model, large-scale model tuning methods and dialogue A series of core technologies such as management scheduling supervision model and entity recognition extraction model. Solid and long-term technical accumulation is the key to the emergence of the Witeng large language model platform.
Abundant Industry Know-How reserves:
Since its establishment 17 years ago, Tianrun Rongtong has provided many enterprises with customer contact platform services in marketing, sales and service scenarios, and has accumulated a large amount of industry experience, scene experience and professionals in vertical customer contact fields. These reserves are the key factors for the commercialization of Tianrun Rongtong Weiteng large language model platform.
Fusion technology application:
The Weiteng large language model platform is composed of mainstream open source basic models and mainstream general-purpose large models. Through tuning these large models, the models are matched to the best customer scenarios, and a plug-in market, prompt word factory and open API, etc., have created a Weiteng big language model platform that can be implemented in B-end business scenarios .
Flexible to meet the individual needs of different enterprises:
● In terms of data security and deployment, the Witten big language model platform supports the private cloud deployment model, and enterprises can also customize exclusive data sets;
● At the application level, customers can use it out of the box and quickly complete access;
● At the level of customization, it can be deeply customized according to the business of the enterprise , and can be connected with the data of the internal system of the enterprise;
● In terms of compliance, it meets the relevant product policies and data security management requirements of China AIGC;
● At the service level, the trainer team of the Witten big language model platform will continue to assist enterprises in completing business optimization, corpus optimization, data analysis, etc.;
The Weiteng large language model platform can break through the last mile of large model technology in enterprise applications, which is the result of Tianrun Rongtong's long-term accumulation and continuous innovation.
Tianrun Rongtong leads customer contact into the era of intelligent connection
Based on the Weiteng large language model platform, Tianrun Rongtong has completed the integration and transformation of multiple functional points on the customer contact closed loop. In the actual business process, it is fully integrated into the existing business process of the enterprise, so that platform users and managers can complete efficiency improvement "without perception".
Next, we will show you three rounds of real product demonstrations and seven real case studies , and let you experience the Witten big language model platform.
The Weiteng large language model platform is the key achievement of Tianrun Rongtong's insistence on technological innovation . In the future, Tianrun Rongtong will continue to focus on intelligent technological innovation in the field of customer contact, so that people and machines can efficiently complement each other and seamlessly connect, forming a technology, A closed-loop system for product, application, and value presentation. Construct a new customer contact experience of "human-computer integration", and continue to empower enterprises to improve their business value.
