With the development of artificial intelligence technology and the expansion of its application domains, the bank has developed multiple AI platform systems, each performing exceptionally well within its specific area. However, these systems are often limited to isolated application scenarios. As business scenarios grow increasingly complex and intelligent, significant challenges arise in achieving cross-platform integration and collaboration.

By building an integrated AI middleware platform, the bank can achieve unified pooling and management of underlying resources, centralized governance of AI capabilities, lifecycle management, coordinated orchestration of large and small models, and unified AI asset management. This approach maximizes the empowering effects of AI technology.