Data & AI Summit -

TLC Connect - Data & AI Series

4th December 2025

Bankside Hotel, London

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.

Days

Hours

Minutes

Seconds

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

Andreas Galatoulas

Data, Analytics & AI Director

AECOM

Andrew Dudfield

Head of Artificial Intelligence

Full Fact

Denholm Hesse

Chief Data Officer

BDO

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

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 - From Silos to Spearheads—Operationalizing the Data Mesh at Enterprise Scale

This session dives into the practical steps for CDOs to shift from monolithic lakes to domain-oriented data products.

Peter Dorrington – Founder – XMplify Consulting Ltd

10:05 - Opening Panel: Guardians of Trust: How CDOs, CISOs and CIOs Shape the Future of AI

As AI adoption accelerates across every industry, the roles of the Chief Data Officer (CDO), Chief Information Security Officer (CISO) and Chief Information Officer (CIO) are converging faster than most leadership structures can keep up with. KPMG’s 2025 leadership survey reports that while 93% of executives have seen increased cross-functional collaboration, only around a third have clearly defined, shared ownership across data, security and technology.

That misalignment creates real risk: fragmented governance, duplicated investment, inconsistent controls and weakened confidence in AI-enabled decisions. With AI scaling at pace, organisations need stronger operating models that balance innovation with resilience.

This C-level discussion will cut through the noise and explore practical frameworks for shared accountability, governance at scale and delivering measurable value without compromising security or compliance.

Speaker:
Peter Dorrington – Founder, XMplify Consulting Ltd

10:45 - Fireside Chat: Data Unleashed: How a Truly Data-driven Culture Can Transform Organisations

Data has shifted from being a background asset to a genuine competitive advantage — but only for organisations that know how to use it. Gartner’s 2024 global survey highlights a sharp divide: although 87% of business leaders rank digital transformation as a top priority, only 18% report strong data literacy across all functions. The result is a widening execution gap, where organisations collect vast amounts of data but struggle to convert it into reliable, decision-ready insight.

This session will focus on what is required to build a truly data-driven organisation: securing senior sponsorship, breaking down entrenched silos, democratising access to insights and embedding accountability for data outcomes across every level of the business.

Speakers:
Petr Vaclav – VP & Head of Data, Analytics & AI, RGA
Sanja Hukovic – Group Director, Head of Model & AI Risk Management, LSEG

11:25 - Networking Break & Refreshments

11:45 - Panel Discussion: AI ROI: Measuring Real AI Outcomes, Not the Hype

Gartner’s 2024 IT Roadmap for Data and Analytics predicts that by 2025, 50% of all business decisions will be augmented or automated by AI agents. Yet while executives continue to scale their AI investments, many organisations still struggle to demonstrate clear return on investment or point to practical, measurable case studies.

This panel will move 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 everyday business processes.

Speakers:
Fernando Zabotinsky – Global Technology Director, Ball Corporation
David Mortimer – Director, Data & AI, Liberty Global
Leanne Pienaar – Director of Data, Indurent

12:25 - Customer Case Study Workshop

12:45 - Customer Case Study Workshop

13:05 - Lunch, Networking & Vendor Exploration

14:00 - Panel Discussion: Ownership, Stewarship & Quality: Shifting Data Governance From Cost to Value Creation

Data governance is often perceived as a costly compliance obligation rather than a value driver. This session reframes governance as a strategic enabler by highlighting the impact of clear data ownership, proactive stewardship and rigorous quality management. Our panellists will share practical frameworks and real-world examples of how their organisations have transformed governance processes into catalysts for faster insights, stronger customer trust and new revenue opportunities.

Speakers:
Mark Beckwith – Director of Data Governance & Architecture, Financial Times
Paul Henry – VP of Data & AI, Citi
Andrew Dudfield – Head of Artificial Intelligence, Full Fact

14:40 - Customer Case Study Workshop

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?

Roundtable Discussion 2: From Data Strategy to AI Value Creation

Many organisations have robust data strategies, but translating them into measurable AI-driven business outcomes remains a challenge. This session explores how Data & AI leaders can align strong data foundations with AI initiatives that deliver tangible enterprise value.

Moderation Questions:

How do you ensure your data strategy is directly linked to business outcomes rather than technology adoption for its own sake?
What governance models best support scaling AI initiatives across multiple business units?
How do you measure and communicate the value of AI to the board and executive stakeholders?

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 lead the charge in operationalising ethics.

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?

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 an escalating talent shortage, leaving many organisations struggling to secure the capability needed to execute key initiatives. Limited access to skilled practitioners, increasing competition for specialist talent, and uneven internal maturity are slowing down transformation efforts across every sector.

In this fireside chat, our panellists will explore practical strategies for diagnosing skills gaps, developing internal capability, and attracting the expert talent required to deliver on ambitious data and AI agendas.

Speaker:
Andreas Galatoulas – Data, Analytics & AI Director, AECOM

16:30 - Closing Keynote: From Insight to Impact: Orchestrating Data, AI & Ethics for Sustainable Growth

Your data strategy isn’t just a technical roadmap — it’s the organisational compass for responsible, resilient and scalable growth. As businesses push to harness the full potential of AI, the real differentiator lies in unifying technology, governance and human stewardship into one coherent engine for progress.

In this closing keynote, we will move beyond isolated wins and explore how organisations can weave data, AI and ethical oversight together to create a sustainable, enterprise-wide growth framework that stands the test of time.

Speaker:
Aaron Kalvani – 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

Chief Data Officers, Directors and Heads of Data focused on establishing enterprise-wide data strategy, improving data maturity, and delivering measurable business outcomes..

Analytics & Insight Leaders

Leaders in Analytics, BI and Insights looking to scale data-driven decision making, improve data literacy, and unlock deeper, more actionable intelligence across the organisation.

AI, ML & Innovation Leaderss

Senior professionals driving AI, machine learning and automation programmes who want to accelerate value delivery while managing risk, governance and ethical responsibility.n.

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.