Digital Risk Control
Real-Time Calculation, Dynamic Rules, and Models Enable Intelligent Anti-Fraud
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企業ユーザー向け製品、ソリューション、サービス
Protect and Foster Financial Innovation with Real-time Intelligence Anti-fraud
Digitalization brings many benefits for finance but it also entails a wide range of new fraud risks. Traditional anti-fraud systems lack the means to prevent and mitigate these new threats, putting financial institutions at very real risk.
The Huawei Real-time Intelligence Anti-fraud Joint Solution protects various aspects of digital finance through technologies such as Big Data, Artificial Intelligence (AI), and Knowledge Graphs, helping financial institutions quickly build up adaptive, quantifiable, and intelligent anti-fraud joint solution.
Benefits
Products
Cloud-Native Data Lake (MRS)
MapReduce Service (MRS) provides Hadoop-based high-performance big data components, such as Hudi, ClickHouse, Spark, Flink, Kafka, and HBase, for data lakes, data warehouses, business intelligence, AI, and more. MRS is available for both hybrid and public clouds. On hybrid clouds, a single cloud-native architecture runs offline, real-time, and logical data lakes, enabling intelligent transformation. On public clouds, you can quickly build an open, secure, and reliable one-stop big data platform at low cost.
詳細はこちら
Huawei Cloud Stack (HCS)
Huawei Cloud Stack (HCS) adapts to your organizational structure and business processes, serving as a single integrated cloud solution for all of your business needs.
詳細はこちら
Data Warehouse Service (DWS)
Eliminate the need to manually manage or monitor databases with Data Warehouse Service (DWS), an online data processing database that uses a public cloud infrastructure and platform to provide scalable, fully-managed, and out-of-the-box analytic database services.
詳細はこちら
GES
Query and analyze graph-structure data based on various relationships with Graph Engine Service (GES), China's first commercial distributed native graph engine with independent intellectual property rights. GES is specifically suited for scenarios requiring analysis of rich relationship data, including social applications, enterprise relationship analysis, risk control, recommendations, and anti-fraud applications.
詳細はこちら