For decades, financial institutions have looked to data as a gold mine to be mined, and they want to build data platforms to empower their businesses. But why do people in the industry keep thinking it's a daunting task?
The answer lies in the fact that while financial institutions aspire to turn data platforms into real value and productivity for their business, they lack critical production tools. As a result, a lot of data-related work still relies on tedious manual operations, such as making complicated reports, building indicators, and establishing decision-making systems, which is inefficient.
It is behind this seemingly heavy task that lies limitless potential and innovation. This year, the Yushu big data platform of Qifu Technology has achieved industry-leading results in computing engine optimization, intelligent diagnosis, and business continuity assurance by aligning with the core technology architectures of internationally renowned enterprises such as Databricks and Snowflake.
In terms of computing engine optimization, the query engine of the latest architecture reduces resource consumption and experience time by 52%.The non-inductive computing engine upgrade mechanism adopted is equivalent to replacing the engine for the moving aircraft;The newly designed Level 2 query acceleration engine enables more than 80% of data analysis scenarios to return query results within 10 seconds.
In terms of intelligent diagnosis, more than 85% of system abnormalities can be accurately diagnosed and given accurate suggestions by AI, and user problems can be solved instantlyFor 30% of abnormal tasks, the system can automatically optimize and self-heal failures to ensure that SLAs reach 99%.
In terms of business continuity assurance, the active-active in core scenarios and disaster recovery in key scenarios make the system more resilientThe complex link impact control mechanism makes the impact of upstream task changes on downstream more accurately assessed and controlled.
How is this done?
The most important point is that this year, Qifu Technology took the lead in introducing large models, a key production tool. After the introduction of the large model, each user is escorted by a virtual data analysis expert, and the AI can accurately diagnose and give accurate suggestions for most system anomalies to solve the problem immediately. Immersive form interactivity streamlines workflows and helps users be 50% more productive. In addition, it supports SQL retrieval, SQL optimization, and NL2SQL functions, and the efficiency of SQL writing can be increased by 80%. It supports automatic data insight, which improves the efficiency of some data analysis scenarios by 50%.It supports AI flow and automatic processing of complex data analysis, increasing efficiency by 80%.
Facts have proved that AI construction based on large models makes the data platform have more powerful production capacity. At the same time, large models have also injected new productivity into the construction of data platforms. In the past, structured data dominated, but large amounts of unstructured data were difficult to analyze and utilize. Today, new technological breakthroughs are enabling businesses to efficiently analyze large amounts of unstructured data.
More importantly, behind the Yushu platform, it reflects the insight and understanding of financial business data, as the service base of financial business, realizes the full-link closed-loop of business digital empowerment, and ultimately promotes the great improvement of the efficiency of the entire business.
In the financial sector, the criticality of big data platforms is becoming increasingly prominent. Under the pressure of strict supervision, traditional financial institutions have rising requirements for data quality, data timeliness, and data asset value density. Therefore, the big data platform has become a powerful solution to achieve omni-channel and full-link agile business capabilities.
Yushu big data platform not only serves the business needs of Qifu Technology, but also provides a strong impetus for the innovation and upgrading of the entire financial industry. First of all, by aggregating the data assets of various departments, the big data platform forms a panoramic view, which can help financial institutions fully understand the asset layout. Second, the big data platform provides complete one-stop development and self-service analysis capabilities, enabling financial institutions to easily mine and analyze data value in a visual way to improve front-end business capabilities.
With the deepening of the digital transformation of the financial industry, financial institutions are becoming more and more dependent on big data, and the market potential of big data platforms will gradually emerge. Based on years of practical experience, a technology manufacturer with a big data platform like Qifu Technology has launched new products to enter the market, which is a good choice for financial institutions, and the financial institutions that take the lead in the layout are expected to take the lead earlier.
Information) Editor: Feng Lei.