Agenda Day 2

CDO BFSI Agenda Day 2

Pre-event Agenda Agenda Day 1 Agenda Day 2

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

8:30 am - 8:40 am OPENING REMARKS FROM THE CHAIRPERSON

8:40 am - 8:45 am LIVE POLLS

8:45 am - 9:15 am PRESENTATION: THE POWER OF ONTOLOGY - GUIDING YOUR AI FROM BEING CONFIDENT TO BEING RIGHT

AI is only as effective as its understanding of the business it operates in. Without clear definitions and rules, even the most advanced models risk producing confident but incorrect outputs. To address this, leaders are turning to ontologies and semantic data layers to create structured representations of their business that define products, data, eligibility rules and relationships. This shift requires establishing a common language across complex organisations. However, scaling these approaches introduces hurdles around data quality, standardisation and securing investment beyond proof of concept.

Explore how ontologies create a semantic layer that enables AI to operate within defined business contexts.
Understand how organisations are building a common data language to improve decision-making across teams.
Discover the challenges of scaling ontology-driven AI and how to navigate securing resources and funding.

9:15 am - 10:00 am PANEL DISCUSSION: FROM DATA TO DECISION INTELLIGENCE - HOW IS AI MAKING UNDERWRITING SMARTER?

AI and machine learning are already reshaping underwriting, pricing and risk selection across the insurance industry. However, the sector faces unique difficulties with fragmented data, legacy system constraints and the operationalisation of unstructured data at scale. So, how can data leaders in insurance scale AI responsibly and consistently across the enterprise while supporting underwriting and pricing decisions?

Understand how insurers are applying AI and machine learning to enhance underwriting, pricing and risk selection.
Learn from real-world use cases in insurance, such as slip extraction, unstructured data processing and single customer views to enable better underwriting decisions.
Explore the data, governance and operating model foundations required to scale AI decisioning across your enterprise.

10:00 am - 10:30 am PRESENTATION: CLARITY, COMPLIANCE, CONFIDENCE - BRIDGING LEGACY AND CLOUD DATA

Complex legacy infrastructures are still heavily relied upon across financial institutions, making it difficult to demonstrate clear end-to-end data lineage across systems. This lack of visibility can weaken the data control environment, making it harder to identify risk, ensure compliance and build trust. Data leaders must now find ways to bridge legacy environments with modern cloud capabilities while strengthening governance across the business.

Learn how banks are strengthening their data control frameworks through improved metadata management and quality controls.
Explore how cloud platforms and data governance tools are enabling greater visibility and stronger technical lineage.
Understand how to drive behavioural change and embed a top-down culture of accountability for data controls.

10:35 am - 11:05 am THINK TANK: AI ON THE EDGE - WHO’S RESPONSIBLE WHEN IT FAILS?

Defining appropriate ai controls and guardrails is crucial to move use cases into production while ensuring appropriate oversight. Yet the definition of AI risk remains: is it primarily a model and data challenge or a broader enterprise risk?

Assess how to establish the right guardrails to scale AI safely.
Debate where AI risk should sit within an enterprise and who is accountable when AI fails.
Share best practices to balance the demand for ai adoption while maintaining effective risk management.

10:35 am - 11:05 am 1:1 BUSINESS MEETINGS

11:10 am - 11:40 am COFFEE BREAK & NETWORKING

11:10 am - 11:40 am 1:1 BUSINESS MEETINGS

11:45 am - 12:15 pm THINK TANK: CLOUD PROMISES VS REALITY - WHAT HAVE YOU ACTUALLY ACHIEVED?

While the cloud offers scalability, cost efficiency and faster innovation, the reality of adoption in financial institutions is far more complex. Legacy systems, fragmented data and competing priorities often flow progress, leaving data leaders with partial implementations. CDO's are now under pressure to ensure cloud investments deliver real business value- not just technical migration.

Assess what success looks like in cloud adoption, from improved data quality and faster insights to operational efficiency.
Identify common barriers to understand where cloud initiatives have fallen short and how to overcome these.
Share strategic next steps to align cloud investments with data strategy and ensure it delivers measurable impact.

11:45 am - 12:15 pm 1:1 BUSINESS MEETINGS

12:20 pm - 1:05 pm ROUNDTABLE DISCUSSIONS

1:05 pm - 2:05 pm LUNCH

2:05 pm - 2:35 pm THINK TANK: WHEN AGENTS START TALKING - FROM WORKFLOWS TO WORKFORCES

The shift towards coordinated agent ecosystems that can execute end-to-end workflows is fundamentally changing how work is structured, decisions are made and how humans collaborate with intelligent systems. Rather than operating as isolated tools, agents are beginning to be embedded within teams, processes and decision chains. Explore what a workforce looks like where agents are beginning to support and augment delivery across teams, and the best practices required to design, manage and scale.

Explore how agent to agent communication is reshaping enterprise operating models and data workflows.
Understand how decision-making shifts when agents collaborate autonomously across functions.
Learn what this means for human roles, accountability and the future structure of ai and data teams.

2:05 pm - 2:35 pm 1:1 BUSINESS MEETINGS

2:40 pm - 3:10 pm THINK TANK: STUCK IN PILOT MODE - WHY ONLY 5% OF AI TAKES OFF

2:40 pm - 3:10 pm 1:1 BUSINESS MEETINGS

3:15 pm - 3:45 pm PRESENTATION: DIGITAL-FIRST BANKING - HOW DATA FROM DIGITAL CHANNELS DRIVES SMARTER DECISIONS

The decline of physical bank branches reflects a structural shift in financial services, with customers now interacting primarily through digital channels that generate continuous streams of data. For data leaders, this shift creates greater visibility into customer behaviour through analytics and AI, but also increases pressure around real-time data integration, cybersecurity and AI usage.

Explore how the shift from branches to digital channels has transformed customer interaction into continuous data generation.
Understand the implications of this shift for your team, including the need for real-time data unification and multi-channel consistency.
Discover how your peers are leveraging customer data, analytics and AI to turn digital behaviour into actionable insight.

3:45 pm - 4:30 pm PANEL DISCUSSION: BACKING THE BASICS - HOW FOUNDATIONAL DATA ENABLES BUSINESS SUCCESS

High-profile initiatives often capture the majority of investment, while the data foundations required to make them successful remain underfunded. Challenges around data architecture and establishing a common data language frequently go unaddressed, creating long-term risks for scalability and impact.

Learn how to articulate the value of data infrastructure and standardisation to the board to secure funding.
Understand the risks data leaders face when investment in visible projects outpaces the underlying data foundations.
Explore strategies to align data initiatives with long-term investment to demonstrate business measurable impact.