Agenda Day 1

CDO BFSI Agenda Day 1

Pre-event Agenda Agenda Day 1 Agenda Day 2

8:00 am - 8:30 am REGISTRATION & COFFEE

8:30 am - 8:35 am IQPC WELCOME

8:35 am - 8:45 am OPENING REMARKS FROM THE CHAIRPERSON

8:45 am - 8:50 am LIVE POLLS

8:50 am - 9:35 am PANEL DISCUSSION: THE ROI REALITY CHECK - WHAT’S ACTUALLY DRIVING VALUE?

Pressure is intensifying for data leaders across financial services to prove that AI is delivering real, measurable business impact not just technical progress. Many organisations still struggle to translate AI capabilities into tangible commercial outcomes at speed. The question on everyone's mind is how do you demonstrate short-term ROI from AI to secure sustained investment and support?

Explore how data leaders are quantifying the commercial value of AI use cases, using measurable frameworks to demonstrate ROI.
Learn how to move beyond technical metrics and communicate AI outcomes in terms that resonate at board-level to build advocacy.
Discover practical ways to prioritise high-value AI opportunities and distinguish meaningful opportunities from hype.

9:35 am - 10:05 am PRESENTATION: RELTIO

10:05 am - 10:20 am NETWORKING BINGO

10:25 am - 10:55 am THINK TANK: TRUST VS CONTROL - ENABLING SAFE AI EXPERIMENTATION ACROSS DATA TEAMS

The challenge is no longer whether AI experimentation happens, but how it is governed, contained and scaled responsibly. With AI tools already widely in use, data leaders are now focused on managing usage across teams to balance risk with sustained innovation.

Debate how to bring greater control and consistency to AI usage across data teams.
Weigh up the balance between governance and experimentation to enable innovation without compromising data security.
Assess how upskilling can strengthen enterprise-wide data and ai capability.

10:25 am - 10:55 am 1:1 BUSINESS MEETINGS

11:00 am - 11:30 am COFFEE BREAK & NETWORKING

11:00 am - 11:30 am 1:1 BUSINESS MEETINGS

11:35 am - 12:05 pm THINK TANK: THE UNSTRUCTURED DATA DILEMMA- AN OPPORTUNITY, RISK OR BOTH?

Despite its volume and potential value, unstructured data remains one of the most underutilised assets across BFSI. Advances in AI and machine learning are making it possible to extract insight at scale, but fragmentation and inconsistent governance still prevent many organisations from operationalizing it effectively. This raises a key question- is unstructured data a major competitive advantage, or a growing governance and regulatory risk if not properly controlled?

Debate whether unstructured data is a competitive advantage or a governance challenge.
Assess the barriers that prevent your team from unlocking unstructured data's full value.
Explore how AI and machine learning can turn unstructured data into actionable insight.

11:35 am - 12:05 pm 1:1 BUSINESS MEETINGS

12:10 pm - 12:40 pm PRESENTATION: MAKE THEM STAY, NOT STRAY- AI, DATA & CUSTOMER LOYALTY

Customer expectations are evolving rapidly, with growing demand for personalised, seamless experiences. At the same time, banks must manage highly sensitive customer data within strict regulatory frameworks, making the use of AI both as a strategic opportunity and a technical challenge. Data leaders who can responsibly harness AI with customer data have a powerful opportunity to deepen relationships, anticipate needs and improve retention.

Learn how to operationalise customer data to enable predictive insights and tailored interactions with customers across channels.
Explore the frameworks and practices needed to ensure responsible data usage while maintaining trust and compliance.
Discover how to translate data and ai-driven insights into actions that strengthen customer engagement and long-term loyalty.

12:40 pm - 1:40 pm LUNCH

1:40 pm - 2:10 pm THINK TANK: THE ENVIRONMENTAL COST OF AI - WHO IS ACCOUNTING FOR THE IMPACT?

AI's environmental footprint is growing- but remains poorly measured. A single generative AI query can use up to 5 times more energy than a traditional search, with AI projected to add up to 44 million metric tons of CO2 annually by 2030. With many organisations pursuing sustainability targets, the lack of clear visibility or consistent standards to measure AI's impact could soon be a problem.

Share your current approaches to understanding and measuring the environmental footprint of ai.
Debate the role of data leaders in balancing ai-driven innovation with sustainability obligations.
Weigh in on practical strategies to reduce ai's environmental impact.

1:40 pm - 2:10 pm 1:1 BUSINESS MEETINGS

2:15 pm - 2:20 pm LIVE POLLS

2:20 pm - 2:50 pm PRESENTATION: AB INITIO

2:50 pm - 3:20 pm PRESENTATION: SCALING YOUR DATA STACK- BALANCING INNOVATION, DEMAND AND COST

As financial organisations continue to strengthen data quality across cloud platforms, managing the cost and complexity of evolving data tools becomes increasingly challenging. data leaders must balance the demand for modern capabilities with budget constraints and growing technology stacks. understand how you can prioritise the right upgrades while maintaining efficiency.

Find out how you can prioritise high-impact data investments while ensuring upgrades deliver measurable business value.
Discover strategies to streamline data quality across cloud environments without slowing innovation.
Understand how data leaders are building scalable architectures that support long-term growth while remaining cost-efficient and flexible.

3:15 pm - 3:45 pm DEBATE: LEADING IN THE MACHINE AGE - WHAT’S NEXT FOR DATA LEADERS?

Many tasks once owned by data professionals can now be automated or augmented by AI - meaning leadership itself is evolving. This raises a critical question: how must data leaders evolve to stay relevant and drive value? The need for strategic direction and business alignment is only increasing.

Challenge assumptions, share perspectives and explore how AI is reshaping data leadership and what this means for the future of CDO's.
Debate how AI is transforming the role of data leaders.
Discuss how skill requirements are evolving in an AI-driven environment and how to keep pace.
Weigh in on what data leaders should be doing now to future-proof teams, roles and career paths.

3:15 pm - 3:45 pm 1:1 BUSINESS MEETINGS

3:50 pm - 4:20 pm COFFEE BREAK & NETWORKING

3:50 pm - 4:20 pm 1:1 BUSINESS MEETINGS

4:25 pm - 4:55 pm THINK TANK: FROM EXPERIMENTATION TO PRODUCTION - SECURING AGENT-TO-AGENT COMMUNICATION

As organisations scale agent-to-agent communications, concerns around security and compliance are increasing. How can you unlock the operational benefits of agent ecosystems while maintaining control, trust and compliance in a highly regulated environment?

Discover how organisations are leveraging agent to agent communication to drive efficiency.
Understand the risks of interconnected agents, including gaps in current frameworks and strategies for maintaining security.
Learn from real-world use cases, including successes and failures to help you move from experimentation to scalable, secure deployment.

4:25 pm - 4:55 pm 1:1 BUSINESS MEETINGS

5:00 pm - 5:30 pm PRESENTATION: OWNERSHIP WITHOUT ACCOUNTABILITY? RETHINKING WHAT IT MEANS TO ‘OWN’ DATA

Data ownership is a core pillar of governance frameworks, but in many organisations, it still struggles to translate into real accountability for data quality, risk, and outcomes. Increasingly, leading organisations are shifting from static 'named owners' to domain-based accountability embedded in change processes and operational workflows. Ownership is also becoming more measurable linked to data quality, control effectiveness, and the operational or financial impact of data issues. At the same time, expectations are expanding beyond datasets to include controls and lineage, with AI and unstructured data introducing new questions around responsibility and oversight.

Explore whether current data ownership models deliver true accountability or remain largely symbolic.
Understand how ownership can be embedded into governance and change processes.
Learn how ownership must evolve to cover AI, unstructured data, and emerging sources of risk.

5:30 pm - 6:00 pm PANEL DISCUSSION: THE TALENT CRISIS IN DATA - CAN YOU HIRE YOUR WAY OUT OF THIS?

The rules of hiring in data and analytics are being rewritten- organisations now need talent who can connect data, AI and real business outcomes. With AI tools generating polished answers in seconds, distinguishing genuine expertise from surface-level knowledge is becoming increasingly difficult. At the same time, the pathway for developing junior talent is narrowing, as entry-level tasks are automated this creates long-term risks for workforce sustainability. This creates a new leadership imperative- building credible, future-ready teams in a market where roles, skills and expectations are constantly evolving.

Understand how roles are evolving and why business fluency is becoming as critical as technical skill.
Learn how to assess true capability in the age of AI, identifying talent that can apply judgement and commercial thinking.
Explore strategies to close the junior talent gap while attracting and retaining high-performing individuals to build future-ready teams.