Archives: Agenda

• Moving from automation to strategic intelligence: how AI will shape decision-making, risk management, and new business models
• Preparing for the next investment cycle: what C-level leaders need to prioritise to stay ahead
• The rise of real-time, agentic AI: transforming customer experience and operational agility
• Building future-ready data foundations and compliance frameworks across diverse APAC markets
• How Asia’s unique demographics, digital maturity, and regulatory momentum are positioning the region to set global standards for responsible AI in finance

• The financial services industry requires speed, precision, and transparency from data systems, especially as AI and ML become mission-critical for trading, risk, and customer intelligence.
• Traditional data warehouses can no longer keep pace with these evolving demands.
• This session will explore how open technologies are reshaping the modern financial data stack, including: ClickHouse, Apache Iceberg, and decoupled compute-storage models are redefining the modern financial data stack
• Key takeaways will include practical strategies for: implementing open table formats, unifying real-time and historical analytics, Integrating AI tools directly into your architecture, avoiding the limitations of vendor lock-in

• Balancing automation and the human touch in client interactions
• Personalization for a new generation of clients (Gen Z & Millennials)
• What does meaningful personalization look like for digital-native customers?
• Building trust through transparency and ethical AI use
• Avoiding the “Robotic” experience: Injecting brand voice and empathy into AI
• How do we make sure our AI doesn’t just sound smart, but also feels human?
• Real-world examples where companies got this right—or wrong—and what we can learn.

Everyone says they have AI agents. Few trust them in core processes where they can deliver the most impact.

After this session, you will:

• Learn the hidden cost of fragmented AI solutions
• Understand the six core capabilities to deploy AI agents that regulators can trust and COOs value
• See how leading financial services organisations are cutting cost-to-serve and improving customer experiences with agentic AI

• Diagnosis: Speed is not the problem; unquestioned trust is. Opaque, hierarchical “digital feudalism” in APAC finance has produced fragile systems where cultural inertia masquerades as discipline.
• Risk: Siloed guilds and loss of systems thinking hide AI risk; SaaS/API sprawl and privileged AI agents amplify fragility, a wake-up echoed by JPMorgan’s CISO.
• Remedy: Recast compliance as an aircraft control tower that coordinates visibility and timing, adopt systems-oriented assurance, map integrations and AI agents, and ensure someone is watching the watchers.
• Culture and alignment: Flatten governance, modernize guilds, shift from passive compliance to active assurance, and align with DORA-style resilience and third-party oversight to govern systems of action before they fail.

• Enabling a deep understanding of unique business contexts: How AI is helping financial institutions unlock operational advantages and enhance customer experience.
• Transforming work with AI: How to create an AI-first culture, from automation of low-value tasks to increased productivity and revenue generated per employee.
• Navigating AI challenges: Addressing the complexities of AI transformation, understanding enterprise context, driving successful change management, and doing it all securely.