Conference Day One - Tuesday 1st April

Conference Day One - Tuesday 1st April 2025

This agenda is subject to change.

Morning Plenary Session

8:00 am - 8:45 am Registration & Breakfast

8:45 am - 9:00 am Chairs Opening Remarks

Generative AI is transforming industries, and board-level insight is critical for balancing innovation, value, and risk. This panel discussion explores how boards are evolving their approaches to AI, driving value creation while maintaining governance. Attendees will learn strategic frameworks that support sustainable AI adoption across enterprises.

·      Aligning AI initiatives with long-term business goals to maximize value.

·      Evaluating the cost-benefit balance of AI investments to ensure sustainability.

·      Developing risk management frameworks that address ethical, financial, and operational AI risks.

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Sylvain Le Borgne

Group Chief Data Officer
JCDecaux

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Paul Dongha

Head of Responsible AI & AI Strategy
NatWest Group

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Hartnell Ndungi

Chief Data Officer, Africa
Absa Group

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Daniel Hulme

Chief AI Officer
WPP

9:30 am - 10:00 am Morning Plenary Keynote: Scaling GenAI in Enterprise: Building Use Cases That Transform Customer Processes

Rohit Dhawan - Executive Director and Group Head of Artificial Intelligence, Lloyds Banking Group

Implementing Generative AI that directly impact customer processes is a significant challenge for enterprises, especially in highly regulated industries like banking and financial services. Navigating regulation, risk, and the demand for explainability makes scaling GenAI complex but essential for delivering customer-centric innovation. This session explores how Lloyds is navigating successfully bringing GenAI use cases to life within customer-facing operations.

  • Balancing innovation with regulatory compliance and risk management in AI implementations.
  • Ensuring AI models are explainable and accurate to build trust with customers.
  • Aligning AI use cases with customer needs to drive meaningful process transformation.
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Rohit Dhawan

Executive Director and Group Head of Artificial Intelligence
Lloyds Banking Group

10:00 am - 10:30 am Morning Plenary Keynote: Session Details to be Announced

May Habib - CEO, Writer


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May Habib

CEO
Writer

10:30 am - 11:30 am Morning Coffee Break

Morning Streamed Sessions

Stream A – Responsible AI

11:30 am - 11:30 am Stream Chair
Luke Vilain - AI Governance Lead, UBS
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Luke Vilain

AI Governance Lead
UBS

Stream A – Responsible AI

11:30 am - 12:00 pm LLM Validation & GenAI Governance: Setting Standards for Risk-Free AI Implementation
Sanja Hukovic - Head of Model and AI Risk Management, London Stock Exchange Group

As enterprises adopt large language models (LLMs), ensuring proper validation and governance becomes critical to avoid risks and ensure compliance. Validating LLMs for accuracy, fairness, and accountability is essential to maintain trust and mitigate bias. This session explores the importance of establishing rigorous AI governance frameworks and validation processes to scale generative AI responsibly.

  • Establishing clear governance standards to manage risks and ensure regulatory compliance.
  • Validating LLMs for accuracy, fairness, and transparency to foster trust in AI systems.
  • Implementing continuous monitoring and auditing to maintain responsible AI practices.
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Sanja Hukovic

Head of Model and AI Risk Management
London Stock Exchange Group

Stream A – Responsible AI

12:05 pm - 12:35 pm Building the Right Foundation: Global AI Integration and Risk Management
Luna Song - Technology Risk Director, Morgan Stanley

Luna Song, a Technology Risk Director at Morgan Stanley, will discuss why it is critical to prepare your enterprise for successful AI integration by first establishing the right internal structure. Drawing on her experience that spans several global markets, Luna will outline how they are navigating the risks of Generative AI and where they are finding success in adoption. She’ll share real-world use cases to highlight both the potential and the risks of AI. Attend to dive deeper into:

•      Identifying why a well-established internal company structure is crucial for effective AI integration.

•      Discovering how to balance AI automation with human oversight, to mitigate risks.

•      Unlocking insights into AI implementation within global markets, such as China.

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Luna Song

Technology Risk Director
Morgan Stanley

As AI capabilities expand exponentially, the imperative for responsible development and deployment becomes paramount for business success and societal well-being. Navigating the complex landscape of responsible AI requires a proactive approach that balances innovation with ethical considerations, ensuring long-term sustainability and trust in AI-driven enterprises.

•      Establishing cross-functional ethical AI committees to guide development and implementation decisions

•      Implementing robust AI governance frameworks that prioritize transparency, fairness, and accountability

•      Investing in continuous education and upskilling programs focused on responsible AI practices

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Hatim Abdulhussein

Chief Executive Officer
Health Innovation Kent Surrey Sussex

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Carol Wilson

Head of Data Ethics, Privacy and Records
Santander UK

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David Egan

Assistant General Counsel for Global Digital and Privacy
GSK

Stream B – Infrastructure & Architecture

11:30 am - 12:00 pm Scaling Innovation: Siemens' GenAI Foundation Platform for Enterprise Transformation
Maximilian Pilz - Head of Applied Artificial Intelligence Solutions, Siemens

Siemens’ journey in building a large-scale, composable AI foundation platform showcases how strategic, centralized innovation can drive enterprise-wide transformation. This session dives into how Siemens created a cost-effective, scalable platform through a unique crowdfunding approach, empowering over 70 use cases across its Digital Industries business.

  • Designing a modular, composable AI architecture to streamline and future-proof enterprise innovation needs.
  • Leveraging a centralized IT-managed framework to facilitate seamless PoC deployment and reduce costs.
  • Aligning platform growth with emerging use-case demands to boost productivity and foster cross-functional scalability.
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Maximilian Pilz

Head of Applied Artificial Intelligence Solutions
Siemens

Stream B – Infrastructure & Architecture

12:05 pm - 12:35 pm Presentation: Delivering the GenAI Platform at BT: Accelerating AI Capabilities with Multitenancy and NLP
Akshita Gupta - Senior Manager Generative AI, BT

BT’s journey in delivering a robust Generative AI platform has revolutionized how they approach data science, natural language processing (NLP), and AI-driven decision-making. This platform enables faster time-to-market, cost reduction, and seamless integration, empowering teams to develop and deploy AI agents at scale. In this session, explore how BT's GenAI platform is setting new standards for enterprise AI deployment and delivering on next-generation AI capabilities.

•      Leveraging a multitenancy platform to accelerate AI delivery and reduce costs.

•      Building and deploy NLP-driven agents across enterprise use cases to enhance decision-making.

•      Integrating AI with existing infrastructure for smoother workflows and faster innovation.

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Akshita Gupta

Senior Manager Generative AI
BT

Stream B – Infrastructure & Architecture

12:40 pm - 1:10 pm Panel Discussion: Optimizing AI Infrastructure: Balancing On-Prem, Cloud, and Compact Models
Dara L. Sosulski - Managing Director, Head of Artificial Intelligence and Model Management, HSBC

As enterprises scale their generative AI initiatives, choosing the right infrastructure strategy becomes crucial for maximizing performance, cost-efficiency, and data control. The evolving landscape of AI models, including the trend towards smaller, more efficient architectures, presents new opportunities and challenges in infrastructure decisions that can significantly impact an organization's AI success and competitive edge.

•      Conducting comprehensive TCO analyses comparing on-prem, cloud, and hybrid infrastructure options

•      Exploring smaller, domain-specific AI models to reduce computational demands and costs

•      Implementing flexible infrastructure strategies that adapt to evolving AI model architectures

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Dara L. Sosulski

Managing Director, Head of Artificial Intelligence and Model Management
HSBC

Stream C – Transformation

11:30 am - 12:00 pm Beyond RAG: Genetic Frameworks Reshaping the AI Landscape
Wayne Filin-Matthews - Global Head of Enterprise Architecture, AstraZeneca

As Retrieval Augmented Generation (RAG) evolves, genetic frameworks are emerging as the next frontier in AI, promising enhanced reasoning capabilities and more robust decision-making processes. These advanced systems have the potential to revolutionize enterprise AI applications by combining the strengths of RAG with evolutionary algorithms, leading to more adaptive and contextually aware AI solutions. Delve into:

•      Investing in research and development of genetic AI frameworks to stay ahead

•      Implementing pilot projects to explore genetic AI's potential in specific business domains

Developing cross-functional teams to integrate genetic AI with existing RAG implementations

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Wayne Filin-Matthews

Global Head of Enterprise Architecture
AstraZeneca

Stream C – Transformation

12:05 pm - 12:35 pm Presentation: From Hype to Harvest: Operationalizing GenAI for Enterprise Value
Paul Cardno - Global Digital Automation & Innovation Senior Manager, 3M

As generative AI moves beyond the initial excitement, organizations face the critical challenge of integrating these technologies into their operational fabric. This session explores the strategies and best practices for scaling GenAI initiatives while navigating regulatory hurdles, managing risks, and ensuring authentic, value-driven outcomes.

Business leaders can effectively operationalize GenAI by:

•      Implementing robust governance frameworks to ensure ethical and compliant AI use

•      Developing full-stack content solutions that integrate GenAI into existing workflows

•      Balancing automation with human oversight to maintain brand authenticity and mitigate

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Paul Cardno

Global Digital Automation & Innovation Senior Manager
3M

In the rapidly evolving landscape of generative AI, a value-led approach to implementation is crucial for achieving tangible business outcomes and sustainable competitive advantage. By aligning GenAI initiatives with strategic objectives and focusing on measurable impact, organizations can navigate the complexities of AI adoption and drive meaningful business transformation.

Delve into:

•      Developing a comprehensive value hypothesis to guide GenAI use case prioritization

•      Implementing iterative, agile methodologies for rapid prototyping and scaling of AI solutions

•      Establishing robust measurement frameworks to track ROI and continuously refine implementation strategies

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Magnus Magnusson

Head of Advanced Analytics
Autoliv

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David Stevenson

Chief Data Scientist
Leonardo Company

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Dario Morelli

Head of Advanced Analytics & Artificial Intelligence (EU D&A)
Admiral Group

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Chris Darriet-Jones

Chief Data Architect
Post Office

Lunch

1:10 pm - 2:40 pm Lunch

Afternoon Streamed Sessions

Stream A – Security

2:40 pm - 3:10 pm Presentation: Fortifying the Future: Navigating Security in Enterprise GenAI Deployment
Matt Adams - Head of Security Enablement, Citi

As generative AI rapidly transforms business operations, it introduces novel security challenges that demand immediate attention and innovative solutions. Addressing these security concerns is crucial for safeguarding sensitive data, maintaining regulatory compliance, and ensuring the responsible use of AI within enterprise environments.

•      Implementing robust prompt security measures to prevent injection attacks and data leaks

•      Developing AI-specific data loss prevention strategies integrated with existing enterprise security infrastructure

•      Establishing comprehensive monitoring and control systems for GenAI usage and output

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Matt Adams

Head of Security Enablement
Citi

Stream A – Security

3:15 pm - 3:45 pm Panel Discussion: Fortifying the AI Frontier: Securing GenAI in the Enterprise
John Almasan - Senior Managing Director/Head of AI and Emerging Tech, TIAA
Ray Ellis - Head of AI Security, Philip Morris International

As generative AI becomes increasingly integral to business operations, it introduces novel security challenges that demand immediate attention and innovative solutions. Addressing these security concerns is crucial for safeguarding sensitive data, maintaining regulatory compliance, and ensuring the responsible use of AI within enterprise environments, ultimately protecting both business interests and stakeholder trust.

•      Implementing robust prompt security measures to prevent injection attacks and data leaks

•      Developing AI-specific data loss prevention strategies integrated with existing enterprise security infrastructure

•      Establishing comprehensive monitoring and control systems for GenAI usage and output

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John Almasan

Senior Managing Director/Head of AI and Emerging Tech
TIAA

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Ray Ellis

Head of AI Security
Philip Morris International

Stream B – Strategy

2:40 pm - 3:10 pm Presentation: Haleon’s GenAI Journey: Lessons Learned, Challenges, and Future Directions
Atif Ishaq - Head of R+D Data & Enterprise Generative AI, Haleon

Haleon has embarked on a transformative GenAI journey, integrating Generative AI across its R&D and enterprise functions to drive innovation and enhance operational efficiency. From building specific GenAI capabilities to navigating compliance and regulatory challenges, Haleon’s experience offers valuable insights for any organization looking to scale GenAI initiatives. This talk will cover Haleon’s biggest GenAI use cases, their successes and struggles, highlighting what business leaders need to consider as they integrate GenAI into their strategy and product roadmaps.

  • Aligning GenAI capabilities with enterprise strategy and ensure data-driven product innovation.
  • Navigating compliance, privacy concerns, and ethical implications in GenAI applications.
  • Fostering collaboration between data teams and product management for scalable, effective AI deployment.
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Atif Ishaq

Head of R+D Data & Enterprise Generative AI
Haleon

Stream B – Strategy

3:15 pm - 3:45 pm Panel Discussion: NatWest’s Cora+ Chatbot: From Pilot to Production
Philip Ector - AI Experience Manager, NatWest Group

NatWest’s Cora+ chatbot has undergone significant evolution, transitioning from Cora to Cora+. This journey has been marked by milestones, customer feedback-driven enhancements, and challenges in implementing new initiatives such as generative AI.

We have prioritized daily monitoring to limit potential chatbot errors and performance issues and ensure our customers receive the best possible outcome.

We are also continuing to iteratively innovate to provide the best possible experience for our customers whilst using new and emerging technologies. Attend this talk to delve into:

  • Understanding Cora to Cora+: A Brief History
  • Transforming Customer Interactions with Generative AI Implementing Daily Monitoring
  • Exploring Next Steps for Cora+
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Philip Ector

AI Experience Manager
NatWest Group

Stream C – AI Agents

2:40 pm - 3:10 pm Presentation: Agents of Change: Harnessing Agentic Systems and Fine-Tuning for Enterprise AI

As generative AI evolves, agentic systems and fine-tuning techniques are emerging as powerful tools for creating task-oriented models that deliver precise, controllable outcomes. This panel explores cutting-edge research and practical applications of these technologies, offering insights into how enterprises can leverage them to create more efficient, targeted AI solutions.

Business leaders can harness agentic systems and fine-tuning by:

•      Investing in research partnerships to stay at the forefront of AI advancements

•      Identifying specific tasks where fine-tuned models can deliver significant efficiency gains

•      Developing strategies to balance model control with adaptability in enterprise applications

Stream C – AI Agents

3:15 pm - 3:45 pm Panel Discussion: Unleashing AI Agents: The Next Frontier of Enterprise Automation
Arun Nandi - Head of Data & Analytics, Unilever
Adriana Castro - Global VP Digital Transformation, The Adecco Group

AI agents represent a paradigm shift in how businesses interact with and leverage artificial intelligence, offering unprecedented levels of autonomy and task completion capabilities. As these intelligent agents evolve to handle complex workflows and decision-making processes, understanding their potential and implementing effective user interfaces becomes crucial for organizations seeking to maximize efficiency, innovation, and competitive advantage.

This panel discussion will delve into:

•      Identifying high-impact use cases for AI agents across various business functions

•      Investing in developing intuitive, user-friendly interfaces that facilitate human-AI agent collaboration

•      Implementing robust governance frameworks to ensure responsible and ethical AI agent deployment

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Arun Nandi

Head of Data & Analytics
Unilever

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Adriana Castro

Global VP Digital Transformation
The Adecco Group

Afternoon Plenary Session

3:45 pm - 4:15 pm Afternoon Coffee Break

4:15 pm - 4:45 pm Afternoon Plenary Keynote:Session Details to be Announced

Alex Ratner - Co-Founder and CEO, Snorkel

As generative AI reshapes the business landscape, ensuring widespread AI literacy and access within organizations is crucial for driving innovation and maintaining competitive edge. By empowering employees across all levels with AI knowledge and tools, companies can unlock new realms of creativity, efficiency, and problem-solving capabilities, leading to transformative outcomes and a future-ready workforce.

•      Implementing comprehensive AI literacy programs tailored to different roles and departments

•      Developing user-friendly AI platforms and interfaces that encourage widespread adoption and experimentation

•      Establishing clear governance frameworks that balance accessibility with responsible AI use

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Alex Ratner

Co-Founder and CEO
Snorkel

4:45 pm - 5:15 pm Afternoon Plenary Presentation: Generative AI Governance fit for the Modern Enterprise

Oliver Patel - Enterprise AI Governance Lead, AstraZeneca


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Oliver Patel

Enterprise AI Governance Lead
AstraZeneca

As organizations move beyond proof-of-concepts, the challenge shifts to implementing generative AI solutions that deliver tangible value across the enterprise. This panel explores strategies for scaling GenAI initiatives, from building robust frameworks to managing costs and ensuring continuous improvement in a rapidly evolving technological landscape. Learn how business leaders are effectively operationalizing value-adding GenAI by:

•      Developing enterprise-wide frameworks that accelerate deployment and ensure consistency

•      Implementing cost-effective strategies for model fine-tuning and scalable infrastructure

•      Fostering a culture of continuous improvement and shared capabilities across teams

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Arun Nandi

Head of Data & Analytics
Unilever

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Peter Rees

Lead Architect - Enterprise Data & AI/ML
Maersk

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Joe Reis

Best Selling Co-author of Fundamentals of Data Engineering
O'Reilly

5:45 pm - 5:45 pm Chairs Closing Remarks & End of Conference Day 1

6:00 pm - 9:00 pm Evening Networking Drinks Reception