Abstracts:
This article focuses on the digital transformation of the financial industry. Fintech companies and Internet giants are capitalizing on cutting-edge technology to transform the financial industry.Reinventing the Customer ExperienceThe digital transformation of the financial services industry is being driven by the need to improve the quality of the services provided by banks. At present, most bank customers have already become accustomed to using digital channels.Older systems are a major obstacleThe customer is interested in theReal-time Service ExperienceWith the rising demand for new technologies, practitioners are well aware of the need for transformation.Overhauling the technology architecture, including the data layerThe
Looking ahead, financial services should realize real-time interactive experiences, reorganize core business processes, and accelerate cloud deployment.Redis Enterprise This can be empowered withExcellent performance, high availability and scalabilityand provideDiversified Data Modelingto support different application scenarios. Relying on the cloud database architecture, it can efficientlyAccelerate new product launchesIt has been proven to be effective in a number of successful cases.
Fintech startups and Internet giants are using cutting-edge technologies toReinventing Customer Experience and ExpectationsThe financial services industry is therefore going through an unprecedented period. As a result, the financial services industry is experiencing unprecedentedMassive Digital TransformationThe
80%'s Bank AccountsAt least one digital channel will be involved in the financial interactions
Retail Bank of 57%Considering the old system as the biggest obstacle to the digitalization process
Customers of 35%Used online banking services several times during the COVID-19 outbreak
Financial services customers are now interested inContactless Payments, Mobile Banking, Credit Decision Making and Fraud DetectionThere is a general expectation that services such asInstant ExperienceThe financial institutions must therefore realize the digital transformation of their businesses in order to remain competitive in the market. Therefore, financial institutions must realize the digital transformation of their business in order to remain competitive in the market.
In the past, many practitioners have adopted a wrong and inefficient approach to transformation, and they have come to realize that digital transformation is definitely not just aboutAdding a modern website to the traditional infrastructureIt's as simple as that. To achieve the speed of service that customers expect, financial institutions must have a clear understanding of what they are doing.Modernization of the entire software ecosystemThese include the all-importantData LayerThe
RequirementsReal-time performance and high scalabilityThe data layer is the only way to satisfy the contemporary consumer's need for an interactive experience.
Financial institutions can useModern Data ModelingContinued business reorganization. Some businesses in the financial sector (e.g.Fraud Detection) is now available throughArtificial Intelligence, Machine Learning, Fast Graphics and Instant SearchThe technology will be reconfigured.
The hope is to gain a competitive edge and toShorten time-to-marketBusinesses that are not in a position to do so can do so through theCloud DeploymentBuild applications faster.
Financial institutions need a whole new set of capabilities to meet the growing demands of today's financial services customers.Redis Enterprise Providing multiple data models with real-time performance and reliability in any environment, it is designed to help organizations toMaximize the value of its data layerThe
Redis Enterprise OwnershipLinear ExpansionandZero downtimefeatures that provide reliablehigh throughputandSub-millisecond latency. itsNo Shared Cluster ArchitectureThroughAutomatic Failover Mechanismand the configurableDurability and Disaster Recovery OptionsThis ensures fault tolerance in the face of all levels of disaster.
Case Study: Deutsche Börse Realizes High-Speed Data Processing with Redis Enterprise
Deutsche Börse is required to assure the regulators and clients that the systemThroughput and Latency PerformanceRedis Enterprise provides strong support for this.
--Maja Schwob, Head of Data IT, Deutsche Börse
Redis Enterprise SupportInstant Search, Graphics, Event StreamingandAI/ML Modeling ServicesThe capabilities are suitable for applications such asFraud Detection, Wealth Management, Quantitative Tradingand other innovative solutions in a variety of application scenarios.
Case Study: Redis Enterprise Enables Simility to Realize Real-Time Fraud Detection Service
Simility is a service from PayPal that combinesMachine Learning and Human AnalyticsSimility is a cloud-based fraud detection service. With Redis Enterprise processing billions of transactions per day, Simility can deliver fraud detection faster than ever before. 30% Introducing new features and improving overall performance by nearly 90%The
Redis Enterprise as aCustody ServicesIt is available on all major cloud provider platforms, helping organizations to launch new products more quickly and strengthen compliance management.
for example Multi-live Geographic Distributionand other features that allow applications to be deployed globally while providingLocal Level Delayed ExperienceThis makes cloud applications easier to adopt and, in any case, more efficient to use.Maintaining business continuityThe
嵌入式 AI 正加速下沉到邊緣設備，CAN 總線憑藉可靠、實時與分散式特性，成為連接 AI 感測器與智能執行器的關鍵通訊架構。虹科解析 CiA 見解、CANopen 應用（含 CiA 462）與未來 PCAN XL 工具鏈，揭示 CAN + AI 的落地路徑與產業機會。
ArangoDB 在金融反詐欺領域扮演關鍵角色，協助機構從傳統規則導向轉向深度關係洞察。面對日益複雜且隱蔽的詐欺網路，傳統風控系統因缺乏全局視角、規則更新滯後及跨系統整合挑戰而顯得力不從心。ArangoDB 透過其獨特的原生多模型（圖、文件、向量）能力，將碎片化的客戶資訊、交易行為與裝置指紋等數據整合，實現「關係+行為+模式識別」的一體化分析。這不僅能大幅提升詐欺識別速度和準確性，降低決策延遲與維運成本，更賦予金融機構主動防禦與全面理解風險的能力，開啟金融反詐欺的新篇章。
虹科 GNSS 模擬器透過軟體定義架構，在實驗室中精準重現城市峽谷、山區、農田等複雜場景，完整驗證巡檢無人機導航精度、多星座兼容性、抗干擾能力及 RTK 高精度定位與多感測器融合性能。告別高成本、低可重複性的外場測試，打造高效、可控、可追溯的 UAV 整機測試流程。
