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
