Edge computing financial services can provide computing power nearby, reshape banking service forms and customer experiences, and are important tools for banks' digital transformation. Major banks should seize the opportunities presented by the wave of new technology development, focus on their development needs, and explore a feasible path for empowering banks' digital transformation based on edge computing financial services.
In the face of challenges such as the need for faster response times in financial services and increasingly stringent industry risk supervision, edge computing in financial services are becoming a key capability for supporting high-quality development of financial business in the new era, meeting the real-time business and privacy protection needs of the financial industry's digital transformation.
Edge computing financial services are a proactive choice for digitizing operations management: Through real-time analysis of people, objects, and events via edge intelligence, the real-time dynamics of branch operations can be perceived. The management and scheduling of staff, smart terminals, and other service resources at branches can be coordinated to proactively provide services, achieve the supply of digital service capabilities and refined management, and gradually shift branch operation modes towards data-driven, customer-centric services, enhancing the overall competitiveness and operational vitality of branches.
By integrating technologies such as edge computing and video intelligent analysis, capabilities such as "perception, understanding, execution, coordination, and iteration" can be built. These capabilities enable effective all-time, full-chain, and all-round supervision of key processes in bank-customer transactions or important areas of bank operations for safety compliance. They provide risk warnings and intervention for business transactions with potential risks, enhancing the risk control capabilities of business operations.
Edge computing financial services can fully tap into the value of the massive unstructured data accumulated by banks, such as audio and video, releasing broad data space and potential, enriching various personalized customer tags. By combining customer transaction preferences, innovative and precise new financial product services suitable for users can be provided, offering a warm service experience and improving banks' customer service capabilities.
Based on the edge computing framework to provide a standardized cloud-native operating environment, the differences in underlying hardware environments are shielded through containerized deployment modes. Support for managing various mainstream edge all-in-one machines and embedded smart devices is provided, offering highly elastic, scalable, and extensible edge resource pools to meet plug-and-play flexible service models.
Edge computing in financial services promote the integrated application of bank data, adhering to the principle of nearby storage of source data with low-value density and in-depth mining of high-value data in the cloud and data lakes. This includes preprocessing and intelligent analysis of massive unstructured data generated by branches, constructing intelligent video monitoring and early warning capabilities for branches, and assisting in the daily operational governance and decision-making of branches.
