Core Banking: Big Data Analytics, Artificial Intelligence & Blockchain | OneConnect
Technology

Our Core Banking Technology

Defining the Future of Fintech

Technology

Technology Makes Finance Easier

By simplifying IT, we fundamentally change bank-customer relationships by providing the expertise, skills and experience to help banks successfully realise a digital transformation that removes traditional barriers, so that they can better serve customers in a simpler, frictionless way.


We provide financial technology solutions in artificial intelligence, big data analytics and blockchain to help financial institutions transform their operations, maximize business efficiency and scale up competitive advantages.
 

Artificial Intelligence

Artificial intelligence (AI)  significantly changes the traditional operating models of financial institutions. How can financial institutions better embrace AI and prepare themselves for the future?

Our unparalleled AI solutions help financial institutions offer better customer services, detect and prevent payment fraud, and improve processes for anti-money laundering (AML) and know-your-customer (KYC) regulatory checks.


Voice Recognition 

  • Our voice verification technology verifies a speaker’s identity by comparing the voice against previously provided samples within milliseconds. We use our voice verification technology to provide safer and faster account access. Our voice verification technology is low-cost and user-friendly, and it supports remote verification in apps, phone calls and customer services.

    Natural Language Processing 

    • Our natural language processing technology translates text inputs into formats that are computable by machines. These capabilities enable machines to process, analyze and understand transaction documents with much higher speed than human beings. This technology also supports multiple rounds of dialogue, enabling our development of chatbots for automated customer and collection services.

    Image Recognition 

    • Our deep-learning algorithms analyze images to quickly and accurately identify visual content. We use this technology to develop gesture payment applications that can replace conventional fingerprint and password checks, improving efficiency and customer experience.

    Expert Decisioning 

    • We train AI to recognize information, learn rules and eventually replace human based decision-making processes. We have applied advanced expert decisioning technology in modules, including intelligent fast claim, anti-fraud tools and virtual assistants, to enhance our customers’ efficiency and reduce their labor cost.

    Application
    Scenarios

    • Account Opening/ Application
    • Smart Loss Assessment
    • Smart Scheduling
    • Smart Customer Service

    Financial Cloud 

    Our cloud management solution provides value-added services built around the services of Ping An Financial Cloud. It offers highly reliable and secure cloud services specifically tailored for the financial services industry. Equipped with a deep understanding of and rich experience in the financial services industry and advanced technologies, we will provide our customers with consultation, design, migration, and deployment services on various cloud structures.

    We have multiple operating centres and meet the highest security standards recognised by nine global industry authorities.

    Features
    • Grade A server rooms and facilities
    • Best-in-class data center in Hong Kong, Indonesia, and Singapore
    • Self-developed based on open source, integrated and absorbed core functional software including openstack, cloudstack as the main components
    • Accommodates other open-source software such as ceph, docker and kubernatesto execute the management and orchestration of multiple types of foundation resources

     

     

    Strengths
    • Security Compliance
    • Excellent Performance
    • High Efficiency and Low Cost
    • Independent Control of Technology
    • Large-Scale

    Big Data Analytics

    Our advanced analytics help financial institutions make timely and informed decisions during the entire business cycle of financial transactions, including customer acquisition and management, risk management, product development and operation optimization.

    Our advanced data insights and data analytics capabilities are critical to all aspects of our operations, particularly in the following modules:


    Credit Analytics

     

     

    • Deliver tailored data processing models to our customers covering applications, behavior, and collection scorecards for mainstream credit products. We have deep experience in interpreting incomplete datasets, and we leverage our financial services industry knowledge and technical expertise to identify the most relevant features for predicative models.

       


      Customer Analytics and Target Marketing

       

      • Deliver tailored data processing models to our customers covering applications, behavior, and collection scorecards for mainstream credit products. We have deep experience in interpreting incomplete datasets, and we leverage our financial services industry knowledge and technical expertise to identify the most relevant features for predicative models.

       


      Anti-Fraud Tools

       

      • Equipped with seven types of data processing models, this module processes non-structured data such as pictures and text. It builds customized models to analyze the information most prone to fraud risk, such as addresses and occupations.

       


      Smart Auto Claims

       

      • Our image-processing and big data analytics technologies in this module enable insurers to apply technology including photographs and video to improve efficiency and accuracy in claim adjustment.
      • Our advanced data insights and data analytics capabilities allow us to streamline the development of customized models, reducing the preparation time for a model from a range of three or four weeks to one week and reducing costs by up to 50%. In addition, our machine learning analytics optimize the accuracy of models as compared to conventional modeling.
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