Agenda Day 2

The future belongs to those who master both data and process. In the age of AI, process excellence is emerging as the true driver of competitive advantage in the sector. This keynote panel brings together industry leaders to discuss why organizations are shifting focus from proprietorial data to proprietorial process, how they are mapping and improving critical workflows, and the ways they align process improvement with data and AI initiatives. Panellists will share insights on measuring and communicating process-driven outcomes, and why the future belongs to those who master both data and process.

For many organisations, siloed data remains one of the biggest barriers to innovation, efficiency, and regulatory compliance. Legacy systems, fragmented ownership, and a cautious approach to risk often make it difficult to collaborate effectively — whether across internal business units or with external partners, fintechs, and regulators.

• Understand how internal and external data-sharing models can improve efficiency, reduce duplication, and support growth initiatives.

• Discover strategies for fostering a culture of collaboration that balances innovation with regulatory and security obligations.

• Hear how other organisations are leveraging trusted data-sharing frameworks to accelerate partnerships with fintechs, insurers, and ecosystem players.

• Explore the role of governance, consent management, and interoperability in building compliant, secure, and scalable data-sharing practices.

Data culture and literacy are seen as long-term journeys, not quick fixes. Leaders have always stated that the biggest hurdles are often people and mindset, not technology. Investing time in communication, training, and gradual team growth (rather than rapid hiring) is critical. Modern data literacy goes beyond tool training—it’s about creating a culture where decisions are backed by evidence and accountability is shared. This panel will examine approaches for embedding data competence across the organisation.

• Hear actionable advice for successfully promoting data literacy within organizations.

• Learn how to increase stakeholder’s exposure to data to foster familiarity and encourage ownership and accountability.

• Explore ways to break down data silos and empower employees at all levels to access and utilize data effectively.

In 2026, the competitive edge lies in embedding insights directly into the workflows where frontline employees, risk analysts, and customer-facing teams make decisions. Whether it’s real-time credit scoring at point-of-sale, fraud detection in transaction flows, or personalised product offers during digital banking journeys, embedded analytics moves intelligence out of static dashboards and into the business moments that matter most.

As autonomous, decision-making AI systems take on greater responsibility, they challenge long-held assumptions about data ownership and control. When agentic AI generates, transforms, and acts on data independently, who truly governs that information—and what happens when control begins to slip? This session will unpack the risks of “runaway” data, the ethical trade-offs of delegating decisions to machines, and the regulatory challenges that organisations can no longer ignore.

• Understand how agentic AI shifts the balance of data sovereignty and challenges traditional ownership models.

• Discover the hidden risks of data generation, transformation, and leakage in autonomous systems.

• Explore the ethical dilemmas of delegating sensitive decisions to AI agents.

• Examine emerging regulatory responses and what they mean for organisational control and accountability.

Two teams go head-to-head in a fast-paced debate on whether upcoming regulations will fuel innovation by creating a level playing field or stifle it through compliance overload. The audience votes before and after to see if minds have changed.