中文

Artificial Intelligence Center

Program overview

Data middle platform is an ecological platform, on which various data services will continue to grow, and data services can be recorded, tracked, audited and monitored. If the data middle office is only to deliver the data to the business personnel, it is just a role of a porter. Beijing zhongkehuilian Technology Co., Ltd. (hereinafter referred to as "Huilan Technology") based on the current situation of enterprise information development and the requirements of data governance, in-depth analysis of the existing management pain points of the enterprise to develop AI midrange products. AI middle platform can be a further extension of data middle platform. It can evolve from data middle platform step by step and make data middle platform intelligent. The so-called intelligence refers to the Intelligent Implementation of a series of data service construction operations in the data center, which makes the data access, storage, analysis, display, training, and pipeline more automatic. Through the AI middle platform, the existing data assets of enterprises can be transformed into intelligent applications of enterprises.

Functional architecture

The overall logical architecture of the system is the core of the system. Huilan Technology has fully studied the requirements of enterprise information development and data governance, and designed the following AI middle platform architecture.

  

AI middle platform logic architecture

Huilan Technology provides artificial intelligence core basic ability services such as voice recognition, semantic understanding, image recognition, etc., supports soft switching, audio and video fusion communication services under the new ICT framework, and realizes the enterprise AI middle platform of data collection, data governance, model building, intelligent decision-making and iteration.

Program advantages

1.Accurate user portrait

Based on the business data and the behavior data of users in the external media, Huilan- Technology AI middle office generates user portraits, which are mainly divided into personal customer portraits and enterprise customer portraits. Personal customer portrait includes demographic characteristics, consumption capacity data, interest data, risk preference, etc.; enterprise customer portrait includes enterprise production, circulation, operation, finance, sales and customer data, relevant industrial chain upstream and downstream data, etc.

2.Precision marketing and personalized service

Huilan Technology AI middle office provides precise marketing services with user data as the core. Enterprises can make personalized recommendation of services or products according to customers' user portraits, such as accurate positioning of customer groups according to customers' age, asset scale, preferences, etc., analyze their potential service needs, and then make targeted marketing promotion.

3.Potential customer mining and lost user prediction

Through big data integration of online and offline related behaviors of customers, Huilan Technology AI middle office classifies potential customers and refines sales focus by means of data mining. And then provide the company with the prediction service of potential customer mining and lost users.

4.Intelligent decision support

Huilan Technology AI middle office obtains rich information and data of customers based on global service, provides complete knowledge base and accurate user portrait based on big data analysis, so as to obtain clearer user needs and master the overall business situation, which can provide decision-making basis for managers, such as how to optimize products, so as to better meet the needs of target groups and transform the original passive service Turn it into active service, and then realize fine management and decision-making.

  

5.Transform sensor data into real-time intelligent insight

Huilan Technology AI middle station can access various intelligent hardware devices, manage access devices with integrated services, and obtain insight data from them. After obtaining the data, the decision-making is made locally by using the data rules safely, the data pattern is identified, and the application event is processed automatically.

Product recommendation

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