Agenda Day 2
CDO BFSI Agenda Day 2
8:00 am - 8:30 am
REGISTRATION & COFFEE
8:30 am - 8:40 am
OPENING REMARKS FROM THE CHAIRPERSON
Brian Jones -
Director,
Atlantic Cedar
8:40 am - 8:45 am
LIVE POLLS
8:45 am - 9:15 am
PRESENTATION: SCALING SMART - BALANCING DATA & AI INNOVATION WITH DEMAND AND COST IN A PE-BACKED INSURER
Usha Badrinath -
Chief Data Officer,
Mosaic Insurance
In a private equity-backed insurer, every pound of spend is scrutinised while internal demand for new data and AI capabilities keeps growing. In this session, Mosaic Insurance's Chief Data Officer will share how she balances innovation, stakeholder demand and cost, scaling her data and AI stack without "big-bank" budgets. She will explore how reducing data run-costs funds targeted AI investments, how she prioritises which business demands to serve first, and how these decisions are building a scalable, sale-ready data foundation for Mosaic's next stage of growth.
- Choosing what to build next: How to prioritise competing business demands for data & AI capabilities when every investment must earn its place.
- From cost-cutting to growth: Practical examples of reducing data run-costs and redirecting savings into high-impact AI initiatives.
- Designing for tomorrow's scale: How Mosaic's strategic partnership model (outsourcing core tech and operations to a small number of deep partners) shapes architecture decisions and enables a leaner, more scalable data function.
- Communicating trade-offs: Techniques for explaining "yes", "no" and "not yet" to stakeholders when balancing innovation ambition with budget and capacity.
9:15 am - 9:45 am
PRESENTATION: AI WITHOUT THE BIG INVESTMENT - PRACTICAL WAYS TO TRANSFORM UNDERWRITING
Alan Strange -
Head of Underwriting & Analytics,
Sophro MGA
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.
9:50 am - 10:20 am COFFEE BREAK & NETWORKING
9:50 am - 10:20 am 1:1 BUSINESS MEETINGS
10:25 am - 10:55 am THINK TANK: AI ON THE EDGE - WHO’S RESPONSIBLE WHEN IT FAILS?
Adri Purkayastha - Group Head AI Technology OpRisk, BNP Paribas
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.
10:25 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 - 12:20 pm
ROUNDTABLE DISCUSSIONS
Paolo Platter -
CTO & Co-Founder,
Witboost
Rheta du Preez - Managing Partner, UK and Europe, Monocle
12:25 pm - 12:55 pm COFFEE BREAK & NETWORKING
12:25 pm - 12:55 pm 1:1 BUSINESS MEETINGS
12:55 pm - 1:55 pm
LUNCH
1:55 pm - 2:25 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.
1:55 pm - 2:25 pm 1:1 BUSINESS MEETINGS
2:30 pm - 3:00 pm
PRESENTATION: OWNERSHIP WITHOUT ACCOUNTABILITY? RETHINKING WHAT IT MEANS TO ‘OWN’ DATA
Gaurav Bansal -
Delivery Director,
Bank Of Ireland
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.
3:00 pm - 3:45 pm
PANEL DISCUSSION: BACKING THE BASICS - HOW FOUNDATIONAL DATA ENABLES BUSINESS SUCCESS
Chimene Painter -
Group Operations Data Sponsor & Head of GO DMO Advisory & Analytics,
UBS
Priyanka Marisarla - SVP, Head of Enterprise Master Data, Northern Trust
Lashan Bartholomeuz - Head of Corporate Bank Data Exchange & Ontology, Deutsche Bank
Lynn Pope - Director of Data and Analytics, Admiral Group
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.
