FSI & AI Hong Kong Summit
The HKSAR Government and industry regulators have issued policy statements and broadened frameworks regarding the use of AI in financial services. They recognize the widespread adoption of AI in the industry but warn of the challenges.
For AI and data leaders in financial services, speed-to-market is key. However, obstacles like ensuring trust, ethical use, compliance, governance, IT infrastructure, talent acquisition and data quality can hinder the scaling of AI projects. Overcoming these hurdles is crucial to unlocking the full potential of AI.
The 2nd annual FSI & AI Hong Kong Summit offers a valuable platform for AI and data leaders in banking, financial services, and insurance to explore the future of AI. Through presentations and panel discussions, the summit aims to help companies adopt AI responsibly, maximize its benefits and ensure security in a highly regulated environment.
This Summit is for all professionals involved in AI/ML, data, digital, and IT, in the banking, insurance, financial services, and virtual asset industries. They include:
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Chief Data Officers
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Chief AI Officers
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Chief Analytics Officers
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Chief Digital Officers
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Chief Information Officers
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Chief Technology Officers
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Chief Transformation Officers
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Chief Innovation Officers
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Chief Customer Officers
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Chief Compliance Officers
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Heads of AI
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Heads of Data Science and Analytics
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Heads of Governance, Risks and Compliance
AGENDA
AI could boost pretax earnings for Hong Kong domestic banks by up to 17%. Financial service firms and insurance companies must harness this potential to compete with their competitors. This keynote addresses the challenges of scaling AI and reveals how to accelerate its impact on profitability in the highly regulated financial industry.
Speaker:
Is AI living up to the hype in the financial industry? Some financial institutions are going all in on AI with 1000+ use cases, while others are becoming more cautious by scaling back as they await further maturity and proven ROI. This panel will explore:
- The state of AI readiness in Hong Kong: Data, governance, and talent
- Speeding up AI adoption: From idea to launch
- Balancing strong governance with rapid innovation
- Building scalable, multi-objective, re-usable and practical AI
- Generative AI challenges in Agentic AI era
- Goals and benefits of enterprise AI governance
- Building successful AI Governance
Running next-generation AI demands immense computing power and affordable data storage. Stringent requirements on data privacy, security, and sovereignty for FSI add additional complexity. CDOs must relook at the IT infrastructure behind the data to address them. This session explores how to build the right IT infrastructure to unlock the full potential of AI at any scale.
Agentic AI promises to revolutionize productivity and efficiency. But can we trust autonomous AI in the highly regulated financial services industry? This panel explores the potential and the pitfalls, including:
- Potential real-world applications of agentic AI in financial services
- The journey to Agentic AI: Data, IT, and readiness
- Reducing human-in-the-loop intervention to enhance automation
- Building trust and mitigating risks in Agentic AI
Panelists:
The dispersion to raise ROAE is loud and clear. FSIs in Hong Kong and worldwide are racing to drive return-on-average-equity (ROAE) with AI to enhance profitability and competitiveness.
According to IBM’s latest 2025 Global Outlook for Banking and Financial Markets Report, while 2024 was the year for piloting GenAI, 2025 will be the year for scaling LLMs beyond narrow use cases. The test run for AI is tapering off.
It’s time to focus on an “AI-first” approach to streamline high-impact workloads and redesign end-to-end processes to drive productivity and innovation. At this executive luncheon, IBM subject matter experts and BFSI tech leaders will share insights into elevating operational and financial performance with AI.
Key discussion topics:
- Scaling LLMs to improve ROAE
- Using AI to disentangle risk and compliance complexity
- Reimagine and optimize workflow with AI
- Accelerate personalized financial advisory services with AI
- Optimize code development with automation
In the age of AI, is your data strategy a lifeline or a liability? Financial services companies have long wrestled with data management, but AI has magnified this challenge, rapidly multiplying data creation and expanding infrastructure requirements. A recent Digital Realty Global Insights Industry Survey revealed a startling reality: over 60% of Financial Services companies across all regions manage more than 20 IT infrastructure locations. This data distribution is projected to increase over the next two years, as companies scale to support emerging business capabilities.
At this exclusive executive roundtable discussion, organized in collaboration with Digital Realty and Telstra, we’ll confront these critical challenges head-on. Together with Digital Realty and Telstra experts and your peers from various industries, we'll dive deep into data gravity, an unintended consequence of the data explosion threatening to overwhelm financial services companies. We will also unpack the comprehensive Global Data Insights Industry Brief, which captures perspectives from over 7,200 C-suite executives and technology leaders spanning 23 countries and nine industries.
In today’s world, financial institutions need to be efficient, nimble, and innovative. Whether you are optimizing decisioning, redefining experiences, or automating processes, the aim is to power a new wave of business growth by maximizing the impact of AI.
To truly derive the desired business performance from your AI initiatives, you need a savviness in identifying the fit-for-purpose solutions. Investing in the right environment and infrastructure will vastly accelerate AI development and deployment at scale.
At this Red Hat-sponsored exclusive luncheon tailored for IT leaders in the financial services industry, we will center on the transformative role of open-source innovation, like DeepSeek, in shaping the AI landscape. Red Hat will cover how they tackle the unique challenges and opportunities arising from the growing adoption of AI.
We’ll delve into:
- Recent AI ripples’ implication to enterprises AI deployment
- Unravel the complexities of private AI and its potential
SPEAKERS
Speakers
Executive Luncheon Speakers
