As financial regulatory requirements continue to evolve, the financial industry is undergoing unprecedented changes, and the regulatory environment is becoming increasingly complex, exposing financial institutions to challenges such as enormous data processing pressures and potential risks. Traditional financial regulatory technology (RegTech) solutions are gradually showing their limitations in dealing with massive data, complex rules and dynamic changes. In this context, the wave of artificial intelligence technology represented by large-scale language modeling (LLM) is bringing breakthrough opportunities in the field of financial regulation. As a leading financial regulatory technology service provider in China, RIKING deeply recognizes the powerful potential of large models in understanding, generating and reasoning, and actively integrates them into its core product matrix.

I. Knowledge Empowerment - Making Regulatory Compliance Knowledge Empowerment Within Reach

Financial regulation involves complex and frequently updated rules and reporting calibers, and financial institutions need to spend a lot of time learning, inquiring and understanding, which may lead to errors in reporting or regulatory compliance omissions if they are not careful.

RIKING Integrated Intelligent Knowledge Base

RIKING has deeply integrated big model technology with our years of deep-rooted financial regulatory knowledge base to create a dynamic and intelligent regulatory compliance knowledge brain.

• Inserted Intelligent Consulting Service - Your “Mobile Supervisory Expert”

RIKING has seamlessly embedded this intelligent knowledge brain into the matrix of products such as NFRA Unified Regulatory Data Report System, EAST and PBOC AML, so that financial institutions can ask questions in natural language without leaving the current system when they are performing tasks related to data filing.

• Omni-Channel Knowledge Reach and Sharing - Regulatory Compliance Knowledge Everywhere

In order to make access to regulatory compliance knowledge more convenient, RIKING has placed its intelligent knowledge base in the communication and management platforms commonly used by financial institutions, such as internal user management systems, DingTalk robot, enterprise WeChat, and even the WeChat official account for customer or employee training.

2.Interaction Innovation - Naturalization of Data Query and Operation

Traditional system data query often relies on preset report templates or requires users to master a certain database query language (e.g., SQL), which is complex and inflexible, making it difficult to meet the immediate and changing data insight needs of management and business people. RIKING's natural language-driven data interaction, utilizing the powerful natural language understanding capability of the big model, can change the way users interact with system data. Intelligent conversational, data query data insights, users no longer need to learn complex query syntax or search through layers of menus, just like a conversation, using everyday language to the system to put forward data requirements.

3.Intelligent analysis - from data to in-depth insights and reports

Extracting valuable information, identifying hidden risk patterns, and writing high-quality analysis reports from massive amounts of business data and regulatory submissions are often time-consuming and labor-intensive professional tasks.

• Intelligent Analysis and Report Generation Driven by RIKING's Big Models

Combined with RIKING's accumulated industry knowledge, regulatory rule base and business data in client's system, the analytical, reasoning and generating capabilities of the big model are used to automate or assist in generating in-depth analysis reports. Intelligent Report Analysis and Generation - Let the report “speak”, the big model can understand the complex business logic and regulatory requirements, conduct in-depth data mining, and automatically generate structured and insightful analysis reports.

• Extended Functions-Intelligent Regulatory Compliance Verification and Early Warning-Prevent Risks Before They Start

By utilizing the ability of big models to understand complex rules, RIKING is able to achieve smarter regulatory compliance verification and risk warning.

4.Comprehensive Advantages and Value

By integrating big models into financial regulatory technology products, RIKING will bring multi-dimensional significant value to financial institutions:

• Efficiency enhancement: automate repetitive tasks such as knowledge query, data acquisition and report generation, freeing regulatory compliance staff from tedious matters.
• Enhanced Accuracy: Reduce human errors and improve the accuracy of data reporting, rule understanding and risk judgment.
• Risk reduction: Earlier and smarter detection of potential regulatory compliance risks and data anomalies, strengthening risk prevention and control capabilities.
• Experience optimization: Natural language interaction greatly reduces the threshold of using the system and improves user satisfaction.
• Insight deepening: mining deeper associations and patterns from massive data and knowledge, assisting management to make smarter decisions.

At the same time, RIKING attaches great importance to data security and privacy protection, ensures that the big model application operates in a security and regulatory compliance framework, and is committed to realizing smooth transition and deep integration of new technologies with existing systems.

Big models are reshaping the landscape of financial regulatory technology with unprecedented power. RIKING is actively embracing this change, continuously investing in R&D, optimizing model performance, deepening scenario applications, exploring deeper applications, and committing to building a smarter, more efficient, and interconnected RegTech ecosystem through the deep integration of advanced AI technology into its core products, so as to meet the opportunities and challenges of the era of intelligence together with financial institutions.