** Abstract: ** Customer micro-segmentation model is launched on Huawei cloud ModelArts to see how to mine the value of financial data with AI technology.

The current information wave is sweeping the world, and a new round of scientific and technological revolution and industrial revolution promote the development of the financial industry to a new stage. In the era of ARTIFICIAL intelligence 2.0, smart finance is in the ascendant and has become an important driving force for the high-quality development of social economy.

Facing the drastic changes brought by fintech, “finance + technology +AI” has now become the strategic direction of most financial companies. Financial companies continue to rely on their own advantages from the strategic level to strengthen the integration of finance and technology, build new business forms, change their organization, process, operation, technology, etc., establish new business system. As a result, fintech companies and third-party service companies have been working together to launch new apps and services over the past few years, and more fintech products have emerged.

Recently, Soxcinda joined hands with Huawei Cloud to launch “Soxcinda Customer Micro sub-model” on ModelArts platform, which also became the first financial marketing model launched on ModelArts. At a time when ai is empowering the financial industry, what kind of impact and significance can the launch of such a model bring to the industry?

Customer micro points, looking for data value breakthrough

Banking is an industry that attaches great importance to the segmentation of customer groups. Influenced by the era of rapid development, customers’ personality, characteristics and needs are also changing in real time. Although many banks have done customer segmentation to the best of their ability, it is usually only divided into a few broad categories, and the analysis is not detailed enough to effectively model business development.

At the same time, many providers of data services for banks do not really consider the business value of user data. They hurriedly put general deep learning models such as face recognition, voice and video online, but fail to provide data marketing services with deeper business insights for banks.

The customer micro-segmentation model launched by Socinda and Huawei Cloud is not just a simple integration and segmentation of user structured data, but a new idea of “data visualization” creatively by using huge transaction data.

It is understood that the model can creatively transform structured data into images through the collection and analysis of bank data, and then carry out deep learning on the images. Deep neural network is used to explore more effective deep features and fit more complex relationships, so as to achieve the purpose of micro segmentation of customers.

To put it simply, it firstly discretizes the user data of the bank to improve the computing efficiency. Secondly, through correlation analysis, law of universal gravitation, network layout, coordinate positioning, dyeing and other technical processing, to achieve the effect of data visualization. After that, deep learning was carried out on data images to analyze the dynamic evolution of customers by reading image features, DBSCAN density clustering and finite state machine. Finally, the state transition panorama is generated for the bank to have a more intuitive understanding of user characteristics and predict the evolution law of user data, and finally make a more reasonable user strategy.

Through the way of data visualization, it can help banks establish more accurate user model, so as to help find the breakthrough of data value. It is reported that by introducing the new image features generated by customer micro-segmentation, the hit ratio of the top 10% list of online models can be increased by 20% to 40%, resulting in direct marketing benefits up to millions to tens of millions.

The deep integration of “finance + technology”

At present, the promotion of technology to the development of the financial industry is no longer limited to superficial aspects such as channels, but opens the deep integration of “finance + technology”. The deep integration of finance and technology has changed the front-end links such as financial channels and customer acquisition, and is also driving changes in the middle and background areas such as product design, risk control and compliance.

As we all know, the 2020 pandemic has affected the global economic ecology and also had a direct impact on the banking industry. The outbreak of new retail, small and micro economy also pushed the pattern of the market to a new height. Digitalization has become the core driving force of new retail. How to divide more diversified customers into small segments has become a problem that must be faced and an opportunity for enterprises to seize the market. The strong combination of Socinda and Huawei Cloud integrates huawei cloud’s powerful platform advantages and Socinda’s innovative financial marketing model, which may bring twice the result with half the effort to the digital transformation of the financial industry.

It can be seen that this cooperation reflects the full cycle management concept of Huawei cloud ModelArtsAI market in AI technology-product-market. At present, Huawei cloud AI Model Market is the first platform in China to provide AI model publishing and subscription services, including AI model market, API market, WIKI data set, contest Hub, case Hub and other modules. There is also a strict review and screening of various online models. In addition, Huawei cloud can realize global localization service support, and a series of R&D activities such as development, testing, deployment, operation and maintenance, and operation can be completed in the cloud, which can provide strong ecological support for Socinda and enable its financial marketing model to benefit a wider range.

With the penetration of fintech, if we look at the current phase of the fintech revolution as a new beginning of the future. Fintech will further penetrate to a deeper level, opening the deep integration of “finance + technology”. Finance and technology empower each other, achieve each other, interact with each other to produce more powerful efficiency, become the accelerator to promote the development of modern society and economy.

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