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Wisdom is essential, drawing a new chapter in digital finance with crowdsourcing

With leading innovative technologies and accumulated capabilities, Huawei collaborates with financial institutions and ecosystem partners to innovate and open up cooperation, continuously creating excellent financial industry solutions. Currently, Huawei has served over 5600 financial clients in more than 80 countries and regions worldwide, including 53 of the top 100 banks worldwide. Huawei has established comprehensive strategic partnerships with over 80 large banks, insurance, and securities institutions worldwide, becoming a trusted strategic partner for financial digital transformation.

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.

 Wisdom is essential, drawing a new chapter in digital finance with crowdsourcing 1

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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