ShanghaiMay 28, 2026 /PRNewswire/ — The Huawei Global Smart Finance Summit HiFS 2026 (Overseas Edition), themed “Hello Fintelligent World: Beyond Digitalization, Towards Agentic Banking,” grandly opened at the Shanghai Lianqiu Lake Campus. The summit gathered over 800 representatives from financial institutions across more than 60 countries and regions, along with over 70 industry partners. During the event, Huawei unveiled six key initiatives to facilitate the large-scale implementation of AI in finance, comprehensively upgraded its Financial Data Intelligence 6.0 and Financial Digital Core 6.0 solutions, and launched an upgraded resilient infrastructure integrating general-purpose computing and intelligent computing. The goal is to fully empower global financial institutions to accelerate AI productivity and drive the digital and intelligent transformation success of global clients.
Adhering to Four Core Business Strategies, Building a New Quadruple-Win Model to Drive Global Financial Institutions’ Business Success
During the summit, Cao Chong, CEO of Huawei’s Digital Finance Business Unit, noted that Huawei has been deeply involved in the financial industry for 16 years. Its financial strategy has continuously evolved from financial-grade hardware and software to industry solutions, forming an effective business development flywheel through sustained innovation in foundational hardware and software, building systematic engineering capabilities, developing diverse ecosystems, and delivering localized services.
Cao Chong, CEO of Huawei’s Digital Finance Business Unit, delivers a keynote speech
Huawei Digital Finance is steadfastly advancing four core business strategies. Based on Huawei’s resilient ICT infrastructure, it continues to deepen the global “Ronghai” partner system for digital finance, collaborating with partners to create financial solutions and establishing a new “Client + ISV + SI + Huawei” quadruple-win cooperation model. As Agentic AI crosses the inflection point toward production intelligence, Huawei proposes a hybrid AI architecture model based on open-source large models in the financial industry to accelerate the effective large-scale implementation of AI and help global financial institutions realize AI value scenarios. In overseas financial markets, Huawei focuses on six key initiatives—scenarios, architecture, engineering, data, AI infrastructure, and talent—to work with clients and partners to accelerate the journey toward Agentic Banking.
Deepening the Parallel Development of Digitalization and Intelligence, AI Drives Agentic Banking to Reshape Financial Services
In 2026, Agentic AI crosses the singularity, accelerating toward production intelligence. AI is evolving from an auxiliary tool into an advanced productivity capable of autonomous task orchestration and execution. On one hand, it accelerates the deep digitalization of finance, transitioning from a digital economy to an instant economy; on the other hand, it further advances deep intelligence, realizing a new Agentic Banking model where “every user has a super butler, and every employee has a super avatar”:
- Reshaping User Experience from GUI to LUI: Achieving hyper-personalization driven by intent and memory.
- Reshaping Human-Machine Collaboration: Multi-agent linkage to build adaptive, dynamic business processes.
- Reshaping Business Decision-Making: From rules + data to ontology + knowledge, enabling forward-looking risk control and operations.
Pioneering New Paths for AI Value Realization with Open-Source Models and Hybrid AI Architecture, Six Initiatives Accelerate the Move Toward Agentic Banking
Building core advantages based on open-source models is becoming a direction for global financial institutions: from building domain models based on general models to achieving faster implementation speed, better scenario adaptation, and more efficient commercialization through engineering capabilities. Comprehensive breakthroughs in implementation efficiency, cost advantages, and systematic integration, along with open-source models and private deployment, ensure compliance, deepen business domain optimization, and control costs. A hybrid AI architecture with cloud and on-premises deployment ensures data security, continuously optimizes token costs, and achieves large-scale commercial implementation and sustainable AI.
Based on open-source models and hybrid AI architecture, Huawei released six key initiatives covering scenarios, architecture, engineering, data, AI infrastructure, and talent:
- Targeting High-Value Scenarios for Accelerated Implementation: Focusing on high-value scenarios is key to AI implementation. For four major scenario categories—intelligent interaction, efficient operations, intelligent risk control, and revenue growth—Huawei, in collaboration with partners, released nine AI agent business solutions.
- Building a Hybrid AI Architecture Balancing Security, Compliance, Business Effectiveness, and Cost: While ensuring data security, engineering optimizes token costs to achieve innovative large-scale implementation.
- Accumulating Leading Engineering Practices to Accelerate AI Implementation Speed: Based on open-source models and open computing power, through low-latency AI interaction, optimization of domain model effectiveness in risk control, deep agent engineering, and partner integration, leveraging computing power engineering, model engineering, and agent engineering to enhance the effectiveness and speed of AI implementation in financial institutions.
- Building a Digital-Intelligent Fusion Foundation: Through three-layer capability upgrades in data platforms, data governance, and data applications, creating a financial AI-Ready R.A.C.E. digital-intelligent fusion foundation.
- Building an Enterprise-Grade High-Performance Intelligent Computing Foundation: Launching the Huawei Atlas 850E Super Node, providing an enterprise-grade high-performance AI computing base with leading computing architecture and high-performance networks.
- Launching an AI Talent Development Plan: Over the next three years, Huawei will help cultivate over 10,000 “Finance + AI” composite experts in the global financial industry.
At this summit, Huawei released the Financial Data Intelligence 6.0 solution. Based on open, peer-to-peer interconnected intelligent computing power, the open hybrid AI architecture ensures data security and scalability costs, building systematic engineering capabilities such as open computing power and agents. Leveraging open-source models and open ecosystems, Huawei, in collaboration with 10 Ronghai ecosystem partners, released nine AI agent business solutions across four major scenario categories—intelligent interaction, efficient operations, intelligent risk control, and revenue growth—accelerating financial institutions’ move toward Agentic Banking.
Building a Solid Data Foundation for AI, Driving the R.A.C.E. Upgrade of Financial Data Architecture
AI drives data capabilities from data-driven to digital-intelligent fusion. Full-domain data moves from unstructured to knowledge accumulation, building predictive models with domain knowledge to improve risk identification accuracy by 25%; real-time processing evolves from stream computing to real-time inference, improving customer visit retention rates; data platforms shift from lakehouse integration to digital-intelligent fusion, and data usage experiences move from manual analysis to Agentic automatic analysis, boosting risk case analysis efficiency by 10 times. Huawei builds a “R.A.C.E.” data capability system—real-time processing, full-domain data, fusion platform, and experience-driven—to help clients upgrade their data.
Huawei released the Financial Data 6.0 solution, achieving three-layer capability upgrades in data platforms, data governance, and data applications.
Building a Fusion Digital-Intelligent Platform: Providing AI-ready, high-quality data. Through software-hardware synergy, the new AI data lake supports multimodal storage and computing, efficiently handling unstructured data such as documents and videos.
Building One-Stop Data Governance: Huawei, in collaboration with Keyrus and Changliang Technology, created a data governance framework to improve data usage efficiency.
Deepening Digital-Intelligent Fusion Applications: Partnering with Sensors Data to launch a hyper-personalized marketing solution with 5,000+ customer tags to deepen user operations. Collaborating with TrustDecision to create an intelligent anti-fraud solution, achieving 30-millisecond detection response and AI-powered intelligent case analysis, improving efficiency by 40 times.
Huawei will continue to work with top data partners to help finance unlock data value and build a solid data foundation for AI.
Accelerating Application Modernization with AI, Upgrading Digital Core 6.0 to Build the Foundation for Agentic Banking
In the journey toward Agentic Banking, cloud-native applications are fundamental. With over a decade of experience in core application modernization, Huawei has built systematic capabilities in four areas—platform, database, engineering, and operations—helping over 150 financial institutions worldwide complete core system modernization upgrades, further accelerating the Free Legacy process in finance with AI.
At this conference, Huawei released the Financial Digital Core 6.0 solution, with comprehensive upgrades in scenarios, AI-empowered development, engineering, architecture, and platforms:
- Enriching Core Scenarios: Building on bank core modernization, Huawei, in collaboration with global top partners, launched new solutions in three areas: credit cards, central bank payments, and insurance core modernization.
- AI-Empowered Application Modernization: Based on Huawei CodeArts, in collaboration with Stefanini and Changliang Technology, Huawei created a financial mainframe code AI transcoding solution with an adoption rate exceeding 90%, accelerating application modernization efficiency.
- Engineering Process Upgrades: Comprehensive upgrades to application refactoring and zero-downtime migration solutions, reducing planning and design cycles by over 50%; collaborating with ecosystem partners to create a Switchover system, ensuring zero business perception and zero downtime during system transitions.
- Unit Architecture Upgrades: Deepening unitization and auto-scaling architectures to support over 10 times the surge in business traffic; using unit architecture to reduce fault radius, achieving 99.999% business high availability.
- New Cross-Platform Container Solution: Taishan general-purpose computing, based on ARM multi-core high-concurrency performance advantages, has supported application modernization upgrades for over 80% of banks in China and financial institutions in eight countries globally. This year, Huawei further collaborates with top container partners like Alauda and Rancher to create a cross-platform container solution, already deployed on a large scale at top banks in Asia-Pacific and South Africa, supporting more flexible application containerization.
Building a New “4 Zeros” Infrastructure for AI, Strengthening the Resilient Foundation of Financial Intelligent Computing
From traditional DCs to cloud DCs and further to AIDCs, resilience remains an indispensable foundation for financial institutions. Based on the “4 Zeros” resilience value proposition and the RAAS solution product framework, Huawei comprehensively upgrades architecture, solutions, and infrastructure, introducing new capabilities such as disaster recovery consulting, intelligent traffic scheduling, and heterogeneous disaster recovery, achieving capability upgrades for disaster recovery and active-active setups. Facing the intelligent computing era, Huawei further builds a resilient architecture integrating general-purpose and intelligent computing, with AIDC integrated inference and full-cycle data center intelligent O&M solutions, helping global financial institutions achieve rapid AI innovation while building a future-oriented resilient infrastructure.
Deeply involved in the financial industry for over 16 years, Huawei has served over 7,100 financial institutions in more than 80 countries. In the future, Huawei will continue to strive to be a trusted strategic partner for the digital and intelligent transformation of global financial institutions, working with global ecosystem forces to go beyond digitalization, accelerate toward Agentic Banking, and create infinite possibilities in the era of financial intelligence.