4th December 2025
Data & AI Summit
The TLC Connect Global Data & AI Summit offers a high value, actionable conference programme designed to foster collaboration between senior data and AI leaders and offer the tools needed to successfully navigate a demanding data and AI environment.
Key Themes for 2025
Data in an AI World: From Buzzword to Business Value
AI Maturity & Enterprise Adoption
From pilot use cases to fully automated enterprise value.
Data Quality, Governance & Regulation
Ensuring accuracy, clarity, compliance, and trust in data ecosystems.
Modern Data Engineering & Architecture
Building flexible, scalable foundations for AI and analytics.
Responsible, Secure & Ethical AI
Transparency, fairness, safety, and risk mitigation at scale.
Our Speakers
Aaron Kalvani
Global AI Leader – AI Strategist & Advisor
United Nations
Zarish Rasheed
SVP Transformation & AI
Citi
Andrew Dudfield
Head of Artificial Intelligence
Full Fact
Ash Jackson
Chief Strategy Officer
MOD
Fernando Zabotinsky
Global Technology Director
Ball Corporation
Leanne Pienaar
Director of Data
Indurent
Mark Beckwith
Director of Data Governance and Architecture
Financial Times
Petr Vaclav
VP and Head of Data, Analytics & AI
RGA
Reza Salari
Chief Information Security Officer
Pacific Life Re
Sanja Hukovic
Group Director, Head of Model and AI Risk Management
LSEG
Paul Henry
VP of Data & AI
Citi
Peter Dorrington
Founder
XMplify Consulting Ltd
Muzammil Shabudin
Head of Risk Solutions Advisory
SAS Northern Europe
Carlos Soares
SVP Data, Analytics & AI
Brenntag
Richard Clark
RVP EMEA
Reltio
Raj Iyer
Chief Technology Officer
Rackspace
Richard Storry
Senior Manager
Druva
Ekaterina Golovanova
Digital Director
L'Oréal
Azin Shahidi
Head of Strategy & Governance, International Technology Office
Vanguard
Daniil Kalyadin
Account Director
SnapLogic
Elevate Your Security Dialogue
Summit Agenda Overview
Welcome to the TLC Connect Data & AI Summit 2025. Explore sessions focused on AI governance, modern data architecture, analytics acceleration, and building responsible, resilient enterprise intelligence.
08:30am - Registration
Arrival, registration and networking breakfast
09:30 - Chair's Welcome
Welcome and Agenda Overview
Peter Dorrington – Founder – XMplify Consulting Ltd
09:35 - Partner Keynote delivered by SAS: AI Governance: Guardrails to Gamechanger
Hear a unique perspective on why AI governance is no longer optional—it’s the foundation for innovation, trust, and competitive advantage. This session explores the essential building blocks of responsible AI, from data frameworks to ethical principles, and shows how governance drives productivity, reduces risk, and strengthens brand value.
You'll get practical strategies for aligning culture, compliance, and oversight, insights into emerging regulatory expectations, and lessons learned from banking on how to manage AI risks effectively. The session goes beyond compliance to show how organisations can build resilient, trustworthy AI systems that deliver real business impact.
Speaker: Muzammil Shabudin, Head of Risk Solutions Advisory, SAS Northern Europe
Head of Risk Solutions Advisory
SAS Northern Europe
10:05 - Opening Panel: Guardians of Trust: How CDOs, CISOs and CIOs Shape the Future of AI
As artificial intelligence accelerates across industries, the traditional boundaries between the Chief Data Officer (CDO), Chief Information Security Officer (CISO), and Chief Information Officer (CIO) are blurring.
KPMG’s 2025 leadership survey highlights that while 93% of executives say AI integration has increased cross-functional collaboration, only a third report shared responsibilities across roles like CIO, CDO, and CISO.
The statistics underscore a critical tension: AI is scaling faster than leadership structures are adapting. Without alignment, organizations risk fragmented governance, duplicated investments, and weakened trust.
This C-level panel will move beyond theory to provide actionable frameworks for leaders tasked with delivering both AI value and enterprise resilience.
Speakers:
Denholm Hesse, Chief Data Officer, BDO
Reza Salari, Chief Information Security Officer, Pacific Life Re
Muzammil Shabudin, Head of Risk Solutions Advisory, SAS Northern Europe
Chief Strategy Officer
MOD
Chief Information Security Officer
Pacific Life Re
Head of Risk Solutions Advisory
SAS Northern Europe
10:45 - Fireside Chat Sponsored by Reltio: Data Unleashed: How a Truly Data-driven Culture Can Transform Organisations
Data is no longer just a resource; it's a competitive advantage — when organisations make the most of it.
In a 2024 global survey, Gartner reports that 87% of business leaders view digital transformation as a top priority, yet only 18% of organisations report high levels of data literacy across all business roles, leaving a vast majority struggling to turn raw data into reliable insight.
In this session our panellists will discuss the importance of executive sponsorship, the need to dismantle silos, democratise insights, and embed accountability for data-driven outcomes at every level.
Speakers:
Petr Vaclav, VP and Head of Data, Analytics & AI, RGA
Sanja Hukovic, Group Director Head of Model and AI Risk Management, LSEG
Carlos Soares, SVP Data, Analytics & AI, Brenntag
Rob Algar, Senior Account Executive, Reltio
VP and Head of Data, Analytics & AI
RGA
Group Director Head of Model and AI Risk Management
LSEG
SVP Data, Analytics & AI
Brenntag
RVP EMEA
Reltio
11:25 - Networking Break & Refreshments
11:45 - Panel Discussion Sponsored by Rackspace: AI ROI: Measuring Real AI Outcomes, Not the Hype
Gartner’s 2024 IT Roadmap for Data and Analytics predicted that 50% of all business decisions would be augmented or automated by AI agents by 2025. But while executives keep scaling their AI investments, there is still little evidence of return on investment and practical case studies with measurable outcomes.
This session will attempt to look beyond the AI hype and strip away the marketing gloss to explore rigorous approaches for quantifying AI’s true impact. Our panellists will discuss how to link AI outputs to strategic KPIs, design robust attribution models, and embed ongoing performance tracking into business processes.
Speakers:
Fernando Zabotinsky, Global Technology Director, Ball Corporation
Leanne Pienaar, Director of Data, Indurent
Raj Iyer, Chief Technology Officer, Rackspace
Global Technology Director
Ball Corporation
Director of Data
Indurent
Chief Technology Officer
Rackspace
12:25 - Workshop Delivered by Druva - GenAI & Data Resilience: Interactive Workshop on Backup, Recovery, and Risk
GenAI adoption is transforming how organizations generate, process, and store data — but it also creates new challenges for data backup, recovery, and resilience.
This session is designed for hands-on discussion. Participants will explore with Druva’s Richard Storry how AI is reshaping data landscapes, uncover hidden risks, and identify opportunities to strengthen resilience while optimizing costs.
Speaker:
Richard Storry, Senior Manager, Druva
Senior Manager
Druva
12:45 - Peer-to-Peer Discussions and Business Meetings
13:05 - Lunch, Networking & Vendor Exploration
14:00 - Panel Discussion: Ownership, Stewarship & Quality: Shifting Data Governance From Cost to Value Creation
Data governance often carries the reputation of a necessary but costly compliance exercise. This session reframes governance as a strategic driver for value creation by spotlighting clear data ownership, proactive stewardship, and rigorous quality practices.
Panellists will share proven frameworks and real-world examples of how their organisations have turned governance processes into catalysts for faster insights, improved customer trust, and new revenue streams.
Speakers:
Mark Beckwith, Director of Data Governance and Architecture, Financial Times
Paul Henry, VP of Data & AI, Citi
Andrew Dudfield, Head of Artificial Intelligence, Full Fact
Director of Data Governance & Architecture
Financial Times
VP of Data & AI
Citi
Head of Artificial Intelligence
Full Fact
14:40 - Workshop Delivered by Semrush
15:00 - Roundtable Discussions
Roundtable Discussion 1: Data Quality in the Age of Generative AI
With AI models only as strong as the data they consume, leaders must rethink data stewardship. This discussion examines strategies for ensuring accuracy, lineage, and trustworthiness in increasingly complex data ecosystems.
Moderation Questions:
- How do you balance speed of innovation with the rigour of data quality controls?
- What frameworks or tools have you found most effective for ensuring data lineage and trustworthiness?
- How should organisations handle “good enough” data in contexts where perfection is unrealistic?
Moderator: Zarish Rasheed
SVP Transformation & AI, Citi
Roundtable Discussion 2 Moderated by SnapLogic: Why Success With AI Requires A Holistic Data Strategy
A holistic data strategy has long been seen as an afterthought, too often postponed until more pressing operational concerns have been dealt with — and even then only implemented in disconnected domains.
This session explores how Data & AI leaders can put in place a robust and future-proof data fabric that delivers value today while preparing the organisation for tomorrow.
Moderation Questions:
- What are the core requirements for an AI project to go into production in your organisation?
- What controls have you put in place around use of regulated data for AI projects?
- How are those controls governed, audited, and enforced?
Moderator: Daniil Kalyadin
Account Director, SnapLogic
Roundtable Discussion 3: Responsible AI – Embedding Ethics into Enterprise DNA
Beyond compliance, responsible AI is about embedding fairness, accountability and transparency into every stage of the data lifecycle. This roundtable examines how Data & AI leaders can drive operationalisation of ethics across the enterprise.
Moderation Questions:
- How do you translate abstract principles of responsible AI into concrete policies and practices?
- What governance mechanisms ensure accountability when AI decisions impact customers or citizens?
- How do you balance ethical considerations with competitive pressures to innovate quickly?
Moderator: Peter Dorrington
Founder, XMplify & Summit Chair
15:30 - Networking Break & Refreshments
15:50 - Fireside Chat: Bridging the Data & AI Talent Gap: Strategies for CDOs to Overcome the Skills Shortage
The relentless rise of data and AI has collided with a growing talent shortage, leaving many organisations scrambling to fill critical roles. In this session our panellists will discuss practical strategies for diagnosing skills gaps, building internal capability, and securing the expert talent needed to deliver on data and AI ambitions.
Speakers:
Andreas Galatoulas, Data, Analytics & AI Director, Independent
Ekaterina Golovanova, Digital Director, L'Oréal
Azin Shahidi, Head of Strategy & Governance, International Technology Office, Vanguard
Data, Analytics & AI Director
Independent
Digital Director
L'Oréal
Head of Strategy & Governance, International Technology Office
Vanguard
16:30 - Closing Keynote: Strategically architecting AI systems that protect lives, harden governance, and verify truth before they scale.
Strategically architecting AI systems that protect lives, harden governance, and verify truth before they scale is no longer optional – it’s foundational. This keynote will explore how AI must be designed as truth-critical infrastructure, with resilience, governance, and verification built in from the outset rather than retrofitted later.
Drawing on global, real-world work, Kalvani will unpack why AI now demands disciplined leadership, robust architectural patterns, and systems engineered to withstand cultural, organisational, and geopolitical pressures. He will also look ahead to future trajectories for the world of AI, and what this means for organisations seeking to scale responsibly.
Speaker: Aaron Kalvani, Global AI Leader – AI Strategist & Advisor, United Nations
Global AI Leader – AI Strategist & Advisor
United Nations
16:55 - Closing Remarks and Key Takeaways
Our Sponsors
Who Should Attend?
Designed for Leaders Turning Data, Analytics & AI Into Enterprise Value
CDOs & Data Leaders
Analytics & Insight Leaders
AI, ML & Innovation Leaderss
Data Platform & Engineering Leaders
Directors and Heads of Data Engineering, Architecture and Platforms responsible for building modern, scalable, cloud-native data ecosystems that enable advanced analytics and AI.