Industry Overview
Digital finance is a key driver of the digital economy, supporting transformation, enhancing services, and bridging digital and real-world industries. The rapid evolution of digital technologies is injecting abundant momentum into the continuous development of the digital economy. Rapid advances in technology continue to fuel this growth. As large AI models evolve, their ability to process and analyze complex text and images improves, enabling powerful dialogue and content generation. These capabilities help to automate routine financial tasks. Today, the "AI+" model is being adopted across banking, insurance, and securities, pushing finance into a smarter, more digital future.
Challenges
Poor Customer Experience
Conventional customer services rely heavily on manual work and outdated knowledge bases, making it hard to deliver quick answers to complex questions, and leading to lower customer satisfaction.
Outdated Risk Control Methods
Conventional loan approval depends on manual review and expert judgment, leading to high workloads and low efficiency.
Inaccurate Marketing
Conventional marketing approaches lack personalization, leading to low customer conversion rates.
Solutions
Related Products
Application Scenarios
Customer Service Assistant
When a customer calls or texts, a foundation model analyzes their voice and message to detect emotion and intent, offering script suggestions for the staff. It also searches the knowledge base for answers to customer questions. After the conversation, a service ticket is created automatically.
Credit Assistant
A foundation model supports the full loan process. Before application, it analyzes data to help create credit reports. During application, it assesses credit history and repayment ability to generate due diligence reports. After approval, it aids in risk checks and post-loan analysis.
Marketing Assistant
Quickly generates personalized copy to accelerate marketing content creation and tailors product recommendations—such as wealth management and credit card installments—based on customer profiles, helping increase conversion rates.
Use Cases
Banking
A bank and Ascend built a 1000-card computing cluster and developed a 100B-parameter financial model, achieving strong results in anti-money laundering, fraud prevention, customer services, and operations. By combining large and small AI models, they've launched over 100 applications, using the "AI+" engine to make financial services more inclusive, efficient, and secure.
Banking
Leveraging Ascend high-performance servers, a bank has built a thousand-card computing backbone and centralized enterprise knowledge bases to power digital intelligence capabilities—such as smart reporting, risk control assistants, knowledge QA, and financial analysis. This infrastructure drives efficient operations across inclusive finance, digital retail, and credit card services, shaping a new banking mode for the AI+ era.
Insurance
To support the insurance industry's upgrade, an insurance company partnered with Ascend to build a powerful AI platform combining computing, networking, storage, and cloud. This platform boosts digital workforce efforts and powers smart tools like virtual advisors, claim review, audit bots, and investment analysis. With 50% faster inference performance delivered by MindIE, it now supports over 10,000 employees and drives smarter insurance operations.