Event Brief

Currently, AI technology is accelerating its iterative evolution, transitioning from experimental exploration to a stage of value creation, triggering profound transformations across various sectors and industries in the economy and society. The State Council recently of PRC issued the “Opinions on Deepening the Implementation of the ‘AI+’ Initiative.” Focusing on the coordinated advancement of industry application demands and foundational capability supply, the document proposes a series of policy measures.

AI technology has already found extensive and mature applications in the front, middle, and back offices, as well as in the management of banks. For the financial industry, AI presents both positive impacts and new challenges. On one hand, the application of AI can drive business innovation, organizational restructuring, and a revolution in cognition; on the other hand, it also leads to numerous new issues at the technical, regulatory, and talent levels. In response, financial institutions should adhere to the concepts of differentiated development and open collaboration, optimizing talent cultivation methods and risk prevention mechanisms; regulatory bodies, meanwhile, need to improve regulatory frameworks and innovate regulatory tools. Through multi-party collaboration, AI technology should become the “safe engine” for the high-quality development of the financial industry.

The ” AI+ 2026 – Digital Finance Innovation Summit” will be held on July 9-10 in Shanghai, bringing together relevant leaders from financial institutions such as banks, insurance, securities, and funds, including departments like Information Technology, Fin-Tech, IT Operations, Software Development, Cyber-security, Digital Finance, and Data Management. Participants will jointly explore the latest technological innovations and trends in the digital transformation of financial institutions in the AI era and discover the best market partners.

Major issues to be addressed at the 2026 event

• “AI+” Panoramic Penetration in Financial Services: From Proof of Concept to Scale Application
• Technical Implementation and Business Restructuring of Financial Intelligent Agents
• Next-Generation Financial-Grade Databases: From Hardware Upgrades to Architectural Evolution
• Breaking the Computing Power Bottleneck: High-Performance Computing and Green, Intensive Pathways for Financial Institutions
• How AI Models are Reshaping Quantitative Trading Investment Strategies
• Building New IT Architectures Adapted for Intelligent Agents
• Cloud-Native Platforms: The Computing Power Revolution for Financial Enterprises
• Data Center Infrastructure and the Intelligent Operations Brain for IT
• How AI Models Are Reshaping Quantitative Trading Investment Strategies
• Intelligent Financial Anti-Fraud: From Rule Engines to Adaptive Risk Control Networks
• Financial Data Centers, Green Computing Power, and Sustainable Development
• How Data Security and Privacy Computing Unlock Data Value in Compliant Applications
• Intelligent Anti-Money Laundering: Technological Innovation Breaking the False Positive Dilemma
• Digital Fortress: The AI-Driven New Financial Cybersecurity Defense System

You will experience