08:30 - 09:00
Arrival, registration & breakfast networking
09:00 - 09:10
Introduction from the Network Group & Chairperson
A brief introduction to the event software, SNS — this software, unique to the industry, empowers our attendees to make the most effective use of their time at the event by maximising networking opportunities. The software designs a personalised agenda & enables attendees to arrange one-to-one meetings with each other. This will be followed by a welcome from the Chairperson.
09:10 - 09:40
Keynote Opening: From Data Capability to Enterprise Power, Risk & Value
The next phase of data leadership will be defined less by platforms and more by judgement. Over the next 12–18 months, as AI adoption accelerates and regulatory and board-level scrutiny intensifies, Chief Data Officers will be increasingly accountable for enterprise outcomes, risk posture, and trust (not just delivery). This keynote looks ahead to explore how leading CDOs are operating with a CEO and COO mindset, making hard trade-offs, influencing capital decisions, and redefining what enterprise data leadership means in practice in the near term.
09:40 - 10:15
Fireside Chat: Inside the Boardroom: How Data Leaders Build Credibility with the Board & CFO
- How boards assess risk, focusing on accountability, visibility, and consequence rather than technical detail
- What “good governance” looks like to directors in practice, beyond frameworks, policies, and committees
- The types of evidence boards trust when seeking assurance around data, AI, and control
- What builds executive credibility in board and CFO conversations—and what quickly erodes it
10:15 - 10:45
Case study: How to find the insights with LLM across billions of data
- Using large-scale market surveillance and transaction reporting data to identify and reduce market abuse across the UK
- The evolution of LLM deployment to strengthen risk insight, detection capability, and regulatory intelligence
- Scaling AI-driven analysis through agile delivery and a new market data processor handling 30 million data points per day
- Building governance, trust, and accountability in algorithm-led regulation to support confident decision-making
Helen Packard, Head of Market Oversight Data & Intelligence, Financial Conduct Authority (FCA)
10:45 - 11:00
Coffee break & networking
11:00 - 11:25
Workshop 1
Hosted by Veezoo
11:25 - 11:50
Networking
11:50 - 12:15
Workshop 2
Hosted by Informatica
12:15 - 12:40
Networking
12:40 - 13:05
Workshop 3
Data Management
11:00 – 13:05
One-to-One meetings
Intelligently matched one-to-one meetings:
- Advanced Analytics
- IOT
- Digital Transformation
- Enterprise Information Management
- AI/Machine Learning
- Big Data
- Business Intelligence
- Data Privacy/Security
- Cloud
- Data Management
- Data Integration
- Risk, Compliance & Regulation
- Data Visualisation
- Data Storage/Infrastructure
- Data Governance
13:05 - 14:00
Networking Lunch hosted by Veezoo
Stream 1 - AI Value, Scale &Technical Foundations
14:00 - 14:35
AI at Scale – From Pilots to Permanence
- The organisational conditions required to move AI from pilot to production
- Ownership, operating models, and incentives that enabled scale
- What had to change in leadership behaviour for AI to stick
- Why technically strong pilots still failed to become permanent
Stream 2 - Governing Platforms
14:00 - 14:35
Governing Platforms, Lineage, Ownership & Technical Debt
- How technical debt, legacy integration, fragmented lineage, and unclear data ownership erode control, trust, and decision confidence
- The challenge of portfolio sprawl—overlapping platforms, duplicated capabilities, and diffused accountability
- How leaders rationalise, converge, and retire legacy estates while clarifying ownership, decision rights, and remediation authority
- Whether data quality remains the primary battleground—or if enterprise coherence, accountability now define success
Stream 1 - Data Foundations
14:35 - 15:10
Building Data Foundations Fit for AI
- Why data quality at scale matters more in an AI environment
- Architecture decisions that enable or constrain AI use
- The role of semantics, metadata, and lineage in maintaining trust
- Preventing hallucinations and confidence breakdown
Nivedh Iyer, Head of Group Data Management, Danske Bank
Stream 2 - Data Capabilities
14:35 - 15:10
Operating Models That Hold Under Pressure: Designing Data Functions for Scale, Risk & Control
- Centralised vs federated vs hybrid realities
- Where operating models collapse under regulatory, commercial pressure or AI adoption
- Embedding governance, accountability, and control into delivery, not layering them on as oversight
- Leadership behaviours required to sustain accountability
15:10 - 15:25
Coffee break & networking
15:25 - 15:50
Workshop 4
Hosted by ClickHouse
15:50 - 16:15
Networking
16:15 - 16:40
Workshop 5
Hosted by DataGalaxy
16:40 - 17:05
Networking
15:25 – 17:05
One-to-One meetings
Intelligently matched one-to-one meetings:
- Advanced Analytics
- IOT
- Digital Transformation
- Enterprise Information Management
- AI/Machine Learning
- Big Data
- Business Intelligence
- Data Privacy/Security
- Cloud
- Data Management
- Data Integration
- Risk, Compliance & Regulation
- Data Visualisation
- Data Storage/Infrastructure
- Data Governance
17:05 - 17:50
Panel Discussion: When AI Goes Wrong: Governance, Trust & Enterprise Consequence
- What failure looks like when AI value, risk, and accountability break in production
- Where governance models collapse under regulatory, reputational, or financial stress
- How boards and regulators respond when assurance proves insufficient
- What resilient organisations do differently to prevent systemic trust failure
Nasir Arafat, Head of Data Science, Big Data & Analytics, Scottish Power
Richard Stephen, Head of Data Architecture, Impax Asset Management
19:00
NETWORKING DINNER & DRINK RECEPTION
08:30 - 09:00
Morning registration & breakfast
Informal Networking over breakfast before the sessions begin.
09:00 - 10:10
Roundtable discussions
Join group discussions with your peers on some of the most challenging & significant data topics—please confirm attendance prior to the session. Each host will facilitate the discussion & give a short presentation of key findings in the wrap up session.
Roundtable 1: Data Governance
Roundtable 2: Data Products
Roundtable 3: Measure Data & AI ROI
Murtz Daud, Director of Data & AI , British Gas
Roundtable 4: Data Architecture
Richard Stephen, Head of Data Architecture, Impax Asset Management
Roundtable 5: Data Platforms
Sandip Seal, Director of Data Technology, The Open University
Roundtable 6: Data Management
10:10 - 10:45
Wrap-up session
Each host gives a short overview of key findings from their discussion & creates an ideas board to be distributed post event with the presentations.
10:45 - 11:00
Coffee break & networking
11:00 - 11:25
Workshop 6
Hosted by Tealium
11:25 - 11:50
Networking
11:50 - 12:15
Workshop 7
Data Stewardship
12:15 - 12:40
Networking
12:40 - 13:05
Workshop 8
The Optimal Role of Human Intelligence
11:00 – 13:05
One-to-One meetings
Intelligently matched one-to-one meetings:
- Advanced Analytics
- IOT
- Digital Transformation
- Enterprise Information Management
- AI/Machine Learning
- Big Data
- Business Intelligence
- Data Privacy/Security
- Cloud
- Data Management
- Data Integration
- Risk, Compliance & Regulation
- Data Visualisation
- Data Storage / Infrastructure
- Data Governance
13:05 - 14:00
Networking Lunch
Stream 1 - Governing the Ungovernable
14:00 - 14:35
Making Enterprise Accountability Work at Scale
- Why enterprise governance fails even when policies and standards are in place
- Aligning group-level expectations with local autonomy in federated models
- Who really has authority to stop initiatives — and what happens when they don’t
- Data ownership models that survive scale, M&A, and organisational change
- Governance as enterprise coordination, not technical control
- How leaders win adoption without mandates or structural power
Stream 2 - Data Quality
14:00 - 14:35
Incorporating Data Quality Policies to Strengthen Data-Informed Working Processes
- Establishing formalised data collection processes to provide uniformity in company data
- Working with senior leaders to develop data processing systems that meet organisational needs
- Utilising processed data to inform analytics tools and support business strategies
Stream 1 - Building Data & AI Teams That Scale
14:35 - 15:10
Leading the Human System in an AI-Enabled Organisation
- What a fit-for-scale data and AI organisation looks like beyond org charts
- How inclusive leadership, team design, and incentives drive adoption and trust, and prevent burnout or resistance as AI scales
- Why organisational design, culture, and ways of working shape AI outcomes more than technology choices
- How leaders redesign workflows to keep humans meaningfully in the loop as automation increases
- The long-term workforce implications of AI, including talent pipelines, leadership sustainability, and the risk of narrowing diversity as entry-level roles disappear
Sandip Seal, Director of Data Technology, The Open University
Stream 2 - Building Data & AI Teams That Scale
14:35 - 15:10
The Human Reality of Data & AI: Trust, Psychology & Organisational
- Trust as the foundation of effective human–data and human–AI interaction
- Transparency, ethics, bias, and privacy in AI-enabled decision environments
- Psychological barriers to adoption, including fear of failure, risk aversion, resistance to change, and motivation gaps
- Generational differences in data literacy, technology mindset, and expectations of AI
- Preparing organisations, leadership models, and talent strategies for sustainable human–AI collaboration
15:10 - 15:55
Panel Discussion: Judgement Under Pressure: What Will Actually Matter in the Next 18 Month
- Where CDOs should concentrate leadership energy
- Maintaining a business-first, trust-anchored mindset as AI, regulation, and cost scrutiny converge
- What it takes to build the next generation of data leadership, including capability, inclusion, and sustainable talent pipelines
- How experienced leaders exercise judgement under prolonged uncertainty without burning out themselves, their teams, or their organisations
Gavin Meggs, VP of Advanced Analytics, QVC
15:55 - 16:00
Closing remarks from the Chairperson