September 19, 2025 — The DolphinDB Summit 2025, centered on the theme "Infra + AI", concluded successfully with nearly 300 distinguished attendees from securities firms, asset management companies, futures brokers, industrial enterprises, and leading academic institutions. The summit featured a main forum alongside three specialized breakout sessions, convening industry pioneers to discuss the next decade of AI-powered financial infrastructure and the evolving landscape of human-AI collaboration in finance.
Opening Remarks
In his opening address, Mr. Yangchun Chu, Co-founder and COO of DolphinDB, warmly welcomed all participants and expressed deep appreciation to the company's long-standing partners and users for their unwavering support.
Mr. Chu highlighted DolphinDB's recent achievements in ecosystem expansion, including partnerships with over 20 universities, engagement with thousands of users, and collaborations with numerous hardware and software providers. He also unveiled significant enhancements across DolphinDB's "Deep-Sea Fleet" product portfolio:
- Shark – A CPU-GPU hybrid computing platform, now further optimized for large-scale analytical workloads
- Swordfish – An ultra-low-latency embedded engine delivering single-record computations in single-digit microseconds
- Octopus, Starfish, and Beluga – Advanced engines for complex event processing, collaborative strategy development, and indicator management, now successfully deployed across multiple client implementations
- The Orca Enterprise Real-Time Computing Platform – DolphinDB's newest flagship offering, providing end-to-end, high-performance real-time analytics tailored for sophisticated institutional use cases
Keynote: Building Tomorrow's Financial Systems with Infra + AI
In his keynote presentation, Dr. Xiaohua Zhou, Founder and CEO of DolphinDB, delivered a visionary address titled The Next Decade of AI and Financial Infrastructure.
Dr. Zhou emphasized that driven by the convergence of Infrastructure and AI, the financial industry must prioritize integration, real-time intelligence, modularization, and AI-native architectures to construct the next generation of intelligent financial systems.
He presented DolphinDB's three-layer architectural blueprint for the AI era:
- Establishing a unified data foundation that supports multi-asset and multi-modal data management
- Decoupling logic from execution to maximize computational efficiency
- Adopting component-based design and intelligent interfaces to enhance system flexibility and human-AI collaboration
The Future of Finance: AI's Impact and the Foundation of Computing Power
During the guest speaker session, Professor Rui Kan from the Shanghai Advanced Institute of Finance, Shanghai Jiao Tong University, presented on The Impact and Influence of AI on the Financial Industry.
Professor Kan highlighted that the synergy between technology and market demand drives financial innovation. He examined AI's multifaceted effects on finance—including workforce transformation, algorithmic bias, model opacity, and data security risks.
Taking a historical perspective, Professor Kan expressed optimism about finance's future. He noted that past technological revolutions—from industrial mechanization to digital transformation—initially sparked disruption and concern, yet consistently evolved into engines of economic and social progress through innovation, regulation, and maturity.
Ms. Yuping Cui, Senior Financial Solutions Expert at Hygon Information Technology, presented New Financial Infrastructure: Building the Future with Dual-Engine Computing Power.
Ms. Cui explored the evolving landscape of financial infrastructure in the AI era, emphasizing the need for secure, high-performance computing foundations built on advanced chip technologies to support massive data processing and real-time decision-making.
She underscored the importance of deeply integrating computing infrastructure with financial workflows, noting that seamless alignment between computing power and business needs is essential to unlocking the full value of modern financial systems.
New Product Launches
Driven by evolving customer needs, DolphinDB continues to develop more efficient and intelligent solutions. In his presentation, Dr. Xuntao Cheng, Deputy Director of R&D at DolphinDB, unveiled the company's latest advancements in real-time computing.
Dr. Cheng introduced Orca, DolphinDB's enterprise-grade real-time computing platform, highlighting its core capabilities:
- Unified multi-modal data processing
- Industry-specific data models
- Enterprise-grade high availability
- Cross-region collaboration
These features deliver powerful real-time analytics for diverse applications, from quantitative research to IoT monitoring, enabling faster and more reliable insights.
Dr. Cheng also presented updates to the Swordfish ultra-low-latency embedded engine and the Shark CPU/GPU hybrid computing platform, along with DolphinDB's vision for AI-driven real-time computation.
Ms. Xinyue Mao, Product Manager at DolphinDB, showcased DolphinDB's AI Agent innovations designed to accelerate investment insight generation. She demonstrated multiple AI Agent applications: research report factor replication, factor derivation, intelligent FICC analytics, portfolio management, and AI-assisted stock selection. These innovations seamlessly integrate AI into investment workflows, substantially enhancing both efficiency and accuracy.
Breakout Sessions: AI Empowering Financial Transformation and Emerging Trends
In the afternoon, three breakout sessions explored "New Dynamics and Practices in Asset Management and Trading," "AI Empowering a New Paradigm in Equities Trading," and "FICC Innovation and Trading Frontiers." Industry experts shared cutting-edge insights and practical experiences in financial data services, intelligent investment research, and FICC innovation, examining how AI is reshaping the financial ecosystem.
Following the coffee break, an engaging roundtable discussion addressed AI applications in financial services, covering factor mining, portfolio optimization, equities trading performance enhancement, and cross-asset, cross-market arbitrage opportunities in FICC.
