Archives: Agenda

• Reviewing model code and architecture using XAI (explainable AI) techniques to interpret outputs and algorithms
• Mitigating and re-testing strategies to find the right solution for your value chain
• How can we generate simplicity with AI and agility with current infrastructures?

• How do we perceive the current state of AI and automation adoption in Asia?
• Exploring communication techniques to maintain a balanced level of integrated AI strategies and initiatives
• Productionising GenAI – is it giving the right data and outputs?

• 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