Agenda Day 1

Poor upstream quality sabotages AI efforts, compliance, and customer experience; reactive fixes simply inflate cost and time resources. Equally, bad quality downstream flow hinders data team efforts by forcing endless cleaning loops, ad-hoc pipeline patches, and manual fixes every time a report or model misfires. Before organisations can even explore safe and efficient use of AI, data architecture and quality need to get in check. Proactive, contract-level standards are essential, and only CDOs that get their data in line will unlock true value. 

•  Learn how to embed uniform data-quality service level agreements into every vendor and internal business unit contract.
• Use critical-data-element catalogues to assign clear ownership and accountability.
• Discover how to automate quality tests, replace manual sampling, and streamline quality. 

Christian Cardone

Head of Market Data
Glencore

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Jithindas Ramadas

Director, Data Strategy and Management
Aviva Investors

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Sampling-based checks still miss opaque anomalies while analysts reconcile spreadsheets to appease regulators. As data volumes increase and breach exposure intensifies, CDOs are being pushed to swap periodic evidencing for always-on, AI-driven assurance. Continuous monitoring promises earlier breach detection, leaner control and immutable audit trails - provided models are trained on quality data and wrapped in transparent governance. With DORA, the EU AI Act, BCBS 239, GDPR, SS1/24 and other strict rules in effect, navigating innovation without setting off compliance tripwires has never been harder. The CDOs that will navigate this with emerging models are the ones that will become compliance champions.

• Examine how to benchmark your anomaly-detection models on control logs to flag compliance breaches proactively.
• Explore how the shift from periodic sampling to real-time attestation is the way forward.
• Learn how to ensure alerts are addressed in real time.

Roxanne Howdle-Rowe

Managing Director, Data & Analytics
British Business Bank

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In this session, Lauren Dixon, Chief Data Officer at the Financial Conduct Authority, will explore how the FCA is using Data to protect consumers, enhancing market integrity, and promoting effective competition.

·      Transforming with purpose – how the FCA is developing modern data and supervisory tools to help firms grow with confidence, reduce regulatory friction, and navigate emerging risks at scale. 

·      Driving safe experimentation – the role of TechSprints, digital sandboxes, and early engagement in enabling new ideas to grow safely and responsibly. 

·      Upskilling for the future – why digital literacy, especially for women and underrepresented groups, is vital for building an AI-ready, resilient workforce. 

·      Fostering inclusive partnerships – how the FCA collaborates with industry, academia, and international peers to scale trust, innovation, and opportunity across the ecosystem.

Lauren Dixon

Chief Data Officer
FCA (Financial Conduct Authority)

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The world of banking and financial services isn't just changing—it's demanding autonomous intelligence. Forget traditional AI's insights; the next frontier is Agentic AI, systems that make real-time decisions, anticipate desires, and act on their own. This isn't science fiction; it's today's competitive edge. We'll show you how this revolution transforms customer experiences, skyrockets operational efficiency and unlocks new revenue streams in BFSI like never before. But here's the kicker: none of it works without a foundation of trusted, real-time, unified data. Discover how Agentic AI, supercharged by Reltio, delivers unprecedented agility and profitability, truly future-proofing your enterprise.

• Get practical, actionable strategies for deploying Agentic AI in your financial services organisation, powered by a data platform that makes it real.
• Learn how autonomous personalisation and optimised operations can drive significant new revenue streams.
• Understand how to prepare your business for the next wave of AI, ensuring you stay ahead of the curve.

Chris Lowe

Senior Solutions Consultant
Reltio

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Open Banking APIs and data marketplaces promise new revenue streams which boards are more than keen to explore – but few have managed to monetise data assets to their full extent just yet. Poor data quality, uncertainty over which data can be repackaged into profitable products, privacy concerns, and fragmented data architecture are common inhibitors. Adding to these blockers, Consumer Duty and GDPR slap fines on any hint of misuse, further paralyzing CDOs who would rather play it safe. Pilot revenues are often menial as legal and risk teams veto bold moves. CDOs must now prove a model that grows profit share without triggering customer backlash or regulatory scrutiny.

• Explore commercial frameworks that share upside with partners, protect from liability, and align with your consumer duty and regulatory commitments.
• Learn how to develop the infrastructure for secure data sharing, advanced analytics, and product development and capitalize on underutilized data assets.
• Create convincing narratives that persuade customers to opt in rather than out.

Ime Akpan

Head of Data Engineering
Vanguard

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David Bruce

Chief Data Officer
Financial Ombudsman Service

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