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With the qualitative change of AI capabilities, the singularity moment of AI reshaping financial services is coming. AI is no longer just a tool or application, but a new generation of infrastructure and the core competitiveness of future enterprises.
Digital leading financial institutions have formed a digital flywheel of connectivity, data, models, and ecology, building a business center, data center, and resilient digital base, laying a foundation for moving towards intelligence. They are also exploring multi-body intelligent collaboration and constructing new business and operational models. AI flywheel, through GUI+LUI interaction, from data to knowledge, from models to intelligent agents, from API connectivity to intelligent ecological federation, achieves serving every customer well and building a super personalized journey.
Huawei has strategically invested in financial intelligence, with five key measures including innovating business scenarios, deepening engineering methods, accelerating knowledge extraction, optimizing reasoning efficiency, and promoting the prosperity of AI ecology and talent. The company has comprehensively upgraded its data intelligence solutions, consolidated single point intelligence, explored multi-body intelligence, and achieved a leap in production capacity.
Innovative business scenarios
Following LLM fast thinking scenarios, LRM complex reasoning scenarios, intelligent agent scenarios, and continuous innovation with financial institutions. Collaborate with partners to build value scenario based solutions, such as risk control assistants and intelligent auditing, and achieve ready to use through pre integration, enabling rapid implementation of scenarios
Deepening Engineering Methods
Explore engineering methods such as distillation engineering and inference engineering for value scenarios, integrate engineering experience into the one-stop toolchain ModelArts Studio, and solve the last mile problem of model implementation
Accelerate knowledge extraction
Build an enterprise level knowledge base with LakeSearch, work together with partners to build a full semantic knowledge modeling, knowledge aggregation, knowledge management, and knowledge application full journey solution, and achieve accurate decision-making of model+knowledge
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