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. 

Lashan Bartholomeuz

Head of Data Exchange & Control - Corporate Bank.
Deutsche Bank

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Simon Lewis - Jones

Chief Data Officer - Risk & Compliance
Standard Chartered

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Brian Jones

Founder & Director
AtlanticCedar

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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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Brian Jones

Founder & Director
AtlanticCedar

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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 old rules of data no longer apply. In the Age of Intelligence, BFSI organizations must go beyond siloed systems and fragmented insights to deliver truly personalized and trusted, omnichannel customer experiences. Success now depends on building a real-time, connected view of every customer — a dynamic Customer 360 — fueled by high-quality, unified data that drives retention, loyalty, and growth.

In this session, Reltio will outline the new rules of data that financial services companies must adopt to compete and win in the Age of Intelligence. Learn how data leaders — CAIOs, CIOs, and IT executives — can modernize their enterprise data foundation to ensure every customer initiative is powered by complete, consistent, and trusted information.

Attend this session to:

- Discover how a real-time Customer 360 and trusted data foundation improve customer retention and lifetime value.

- Learn how an agentic data fabric, built on unified and high-quality data, accelerates transformation across your enterprise.

- Gain practical, actionable strategies for deploying omnichannel, customer 360 experiences across financial services, ensuring your organization stays ahead of the curve.

Rob Algar

Solution 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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Brian Jones

Founder & Director
AtlanticCedar

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