Conference Day One - Tuesday 14th April

At Citi, GenAI is a core enabler of transformation, not a side project. An advanced digital assistant is already boosting operational efficiency by 25%, supported by modernised infrastructure and workforce adoption.

• Delivering 25% uplift in financial accounting efficiency

• Modernising infrastructure for scalable GenAI solutions

• Upskilling teams to enable enterprise-wide adoption

Ramy Erfan

Vice President, Business & Technology Transformation
Citi

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With a presence in 200+ countries, the British Council is embedding AI responsibly into global programmes. This session highlights balancing growth, risk, and delivery across arts, education, and skills.

• Managing AI as a portfolio across diverse global programmes

• Building adaptive AI products for learning and operations

• Embedding IP, risk, and cyber security into innovation

Andrew Horton

Exec Board Director Director of Digital & Global Tech, Partnerships & Innovation
British Council

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• Designing deterministic agent flows with explicit logic, guardrails, and structured handoffs
• Embedding human approvals and escalation paths directly into high-impact workflows
• Validating agent performance continuously using repeatable evaluation and SME review

Nick Jewell

Senior Solutions Engineer
Dataiku

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AI is reshaping business models, governance, and culture. This panel explores how enterprises are embedding AI into core functions and aligning with regulation to drive long-term transformation.

• Designing AI-enabled operating models for agility and resilience

• Managing workforce shifts and building literacy at scale

• Aligning transformation with regulatory and ethical standards

Ghanasham Apte

Head of Data Science
BT Group

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David Vinagre Solans

Head of Data Science
Santander

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Elettra Damaggio

Director Internal Data Science
Visa

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Hymans Robertson is trialling multi-agent workflows in software delivery, from requirement gathering to deployment. This session explores governance challenges and how agentic coding is reshaping development lifecycles.

• Delivering software through end-to-end agentic workflows

• Navigating governance and human oversight in coding agents

• Driving adoption with literacy and community enablement

Daniel McMahon

Partner - Head of Technology & Innovation
Hymans Robertson Personal Wealth

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Zurich is deploying agentic analytics across global units, from claims tools to enterprise hackathons. With use cases already in production, this session explores how trust and validation underpin adoption.

• Deploying agentic analytics for global claims performance

• Running hackathons to identify enterprise use cases

• Building trust through validation and human-in-the-loop design

Madhur Hemnani

Head of Data Strategy and Data Governance
Zurich Insurance

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Agentic AI promises productivity gains but comes with significant costs. This panel unpacks the economics of scaling autonomy and how to build ROI strategies that work.

• Building the business case for agentic adoption

• Managing compute, storage, and operational costs

• Unlocking value through orchestration and cross-functional scale

Robert Chilvers

VP Data & AI
dLocal

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Detlef Nauck

Distinguished Engineer and Head of AI & Data Science Research
BT

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Laura Scavino

AI Director
NTT Data

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Natasha Sarin

Lead Product Owner - Natural Language Engineering & Generative AI
Lloyds Banking Group

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JLL has transformed millions of property and lease data points into scalable AI solutions. This session shows how robust foundations drive ROI and operational safety in real estate.

• Building reliable data foundations for AI adoption

• Turning insights into savings, safety, and better decisions

• Embedding governance and security for trusted innovation

Will Cohen

EMEA Exec Director of Technology
JLL

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Agentic systems need clean, interoperable data to operate safely. This panel explores how enterprises are adapting architectures and governance to support autonomous decision-making.

• Building data architectures for multi-agent systems

• Enabling real-time orchestration and interoperability

• Embedding governance for safe and auditable operations

Charlotte Bemand

Director of Digital Futures
HBK

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German Faraoni Heidenreich

Global Director, IT & Digital
Reckitt

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Mattia de Dominicis

SVP, Head of R&D and Innovation
Imperial Brands

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Chris Lowe

Head of Solution Consulting EMEA
Reltio

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AI isn’t just transforming engineering processes - it’s reshaping how teams, leaders, and organisations operate. For large multinationals, the real challenge is less about connecting to an API and more about equipping people to work alongside intelligent systems in meaningful, sustainable ways. In this keynote, Irina shares lessons from Fugro and other highly regulated industries on what it takes to lead responsibly in the age of AI.

• Upskilling workers to collaborate effectively with AI systems, not compete against them

• Helping senior leaders make informed AI decisions beyond hype and headlines

• Building human governance structures that complement technical and regulatory controls

Irina von Rosén

Chief AI Scientist
Fugro

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HSBC is building AI architectures that scale across people, platforms, and processes. This session explores how to balance quick wins with long-term adaptability.

• Leveraging people, platforms, and processes to drive scale

• Designing AI with re-useability and open standards

• Aligning architectures with business and regulatory needs

Neil Thewlis

Head of AI and Model Transformation
HSBC

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Join your peers to discuss practical approaches for scaling AI across multiple business units, overcoming resistance, and embedding continuous improvement into your transformation strategy.

• Prioritising business-critical workflows for agentic automation

• Navigating stakeholder alignment and organisational resistance

• Establishing feedback loops for iterative improvement

Explore actionable strategies for delivering AI transformation beyond the pilot stage.

NatWest is reimagining risk frameworks to govern AI systems capable of autonomous decision-making. This session explores how to safeguard trust, ethics, and accountability in agentic environments.

• Auditing adaptive, autonomous AI systems

• Embedding accountability into human-AI workflows

• Preparing governance to scale with multi-agent systems

Paul Dongha

Head of AI Strategy & Responsible AI
NatWest

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David More

AI Program Director
NatWest Group

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As the financial services sector edges into the world of agentic AI, success won’t come from speed alone - it will come from building responsibly. At Schroders, Konstantina is helping lead the charge to ensure AI systems are grounded in strong data governance, trust, transparency and human-centric design. This session shares case studies on preparing for the next wave of adoption.

• Embedding agentic AI into enterprise systems while protecting privacy and governance by design

• Aligning AI literacy, change management and regulatory readiness across a global organisation

• Building trust by co-creating transparent, human-in-the-loop systems - no black boxes allowed

Konstantina Kapetanidi

VP, Global Data Solutions & Head of Data Science, Europe
Visa

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Join enterprise leaders to explore what responsible deployment looks like when AI systems act independently, and where human oversight must remain.

• Establishing clear accountability for agent-driven decisions

• Managing compliance risk across complex orchestration layers

• Defining transparency expectations for external stakeholders

Gain practical insights on governing the most advanced AI systems in the market today.

As generative and agentic AI move from experimentation to enterprise scale, organisations need a new operational model to support them. Hisham Mohamed is taking his experience within Machine Learning to Generative AI, introducing GenAIOps; a structured approach to building, deploying, and managing generative AI systems reliably and efficiently. This session breaks down the infrastructure, tooling, and processes required to support production-grade generative AI - at scale and with control.

• What GenAIOps means and why it matters now
• Infrastructure patterns for scalable generative and agentic AI
• Automating deployment, monitoring, and iteration of large models
• Handling performance, cost, and governance in production environments

As the AI conversation heats up in financial services, many firms are being forced to pause and rebuild their data foundations - ensuring their infrastructure, products, and pipelines are genuinely fit for intelligent systems. At Vanguard, Ime leads the UK and Europe data engineering team, driving initiatives to make data AI-ready, not just technically, but operationally and culturally. This session highlights how collaborative data products and governance frameworks are creating AI-ready systems.

• Defining “AI-ready”: from governed access to curated, user-centric data products

• Embedding feedback loops: working directly with business units to co-develop solutions

• Aligning teams through literacy: speaking the language of finance, not just data

Ime Akpan

Head of Data Engineering
Vanguard

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Bring your biggest challenges on integrating data for agent workflows to this collaborative session, where peers share strategies and lessons learned.

• Breaking down data silos to enable orchestration

• Balancing openness with privacy and security controls

• Aligning data governance with enterprise AI objectives

Leave with practical solutions for creating AI-ready data foundations at enterprise scale.