Foreword
Recently, the 2023 General Artificial Intelligence Innovation and Development Forum and the 10th Plenary Meeting of the Chinese Artificial Intelligence Industry Development Alliance (AIIA) were held in Liangjiang New Area.
As a member of the AIIA Financial Industry Promotion Group, Wenyin Internet participated in the meeting and shared the landing cases and experience of the large model industry.
Working meeting of the AIIA Financial Industry Promotion Group
The meeting emphasized:Seize the opportunities of artificial intelligence technology represented by large modelsThe first is to exchange information on the technical progress and industry practice of large models in the financial field, and the second is to report on the work progress and future planning of the promotion group in terms of standard formulation, evaluation and testing, case collection, and technical research.
At the meeting, the working group announced the selectionList of 14 outstanding cases of the 2023 AIIA "Finance + AI" special projectand discuss the work plan, the framework of the research report of the "Financial Industry Large Model Landing Practice".
The member units of the promotion group are onThe development status and future trend of financial artificial intelligenceExpanded in depth**. A number of industry experts delivered wonderful keynote speeches on the technology and application of intelligent technologies such as large models in banking, ** and other fields.
Wen Yin interconnected"The big model empowers the construction of the bank's knowledge middle platform".The case was selected as an excellent case of finance + AI. In today's fast-paced world with a rapidly evolving digital economy and rapidly evolving workforce models, many companies are exploring new ways to improve efficiency. Through technology empowerment, the traditional labor force and the digital labor force can be combined and established"Intelligent Workforce".to free the traditional workforce from tedious process business and focus on more valuable and creative work.
In the process of human resource transformation, enterprises need to "free their hands" to strengthen talent training, improve the skill level and work quality of employees, so as to improve production efficiency and product quality. Strengthen technological innovation, promote industrial upgrading, transformation and upgrading, and improve the core competitiveness of enterprises.
Large-scale use improves boundary efficiency
How to connect the management levels at all levels and achieve full coverage is an important challenge in the digital transformation of institutions. The knowledge center aims to drive the construction of the middle platform through the front office, open up the closed loop of data use, and avoid the situation that the middle platform is built and no one uses it. Scenario-drivenA variety of scenarios are designed in the knowledge center to achieve full coverage from the grassroots to the high-level. Provide reliable solutions, realize the integration of management levels at all levels, and inject strong impetus.
With the support of artificial intelligence technology, data is transformed into knowledge to support banking business analysis, decision-making and application in various scenarios. Build a data service development and management platform to support:Customer insight, product insight, accurate marketing, intelligent operation, intelligent risk control, intelligent complianceand other applications in multiple fields to realize the rapid development and management of data services. Data governance can not only improve the quality of data, but also promote knowledge sharing and value creation within the organization by standardizing the operation of shared data assets.
See the full story:
The era of banking knowledge has arrived
Knowledge management under the large model: the bank's digital staff may become the standard, and the operation tool is anthropomorphic