• Who are the Chief AI Officers shaping the future of AI, and what are their key responsibilities within their organisations? 

• How do CAIO demographic trends—such as region, industry, and tenure—affect the role and influence of AI leadership across different sectors? 

• What are the current compensation packages and reporting structures for CAIOs, and how do these reflect their strategic importance in organisations? 

• What career paths and professional experiences lead to becoming a CAIO, and how can individuals position themselves to take on this leadership role? 

• What are the key responsibilities and expectations outlined in Chief AI Officer job descriptions, and what major organisations are currently seeking to fill these roles? 
• How can a CAIO drive AI governance, scale AI initiatives, and boost a company’s competitive edge in the fast-evolving digital landscape? 

Niresh Rajah, Chief Data & AI Officer, DLA Piper 

Francesca D'Amato, Group Chief Data and AI Officer - RCS MEDIAGROUP 

• How can businesses develop robust AI governance frameworks that balance compliance, scalability, and risk management? 

• What are the biggest challenges in navigating the AI regulatory landscape, and how can companies ensure compliance while fostering innovation? 

• How can AI governance frameworks be leveraged to manage vendor relationships and optimise large-scale AI deployment? 

• What role does AI governance play in building trust with stakeholders and supporting long-term growth and innovation in AI-first companies? 

Reshma Shaikh, Head of AI Transformation - EVERSHEDS SUTHERLAND 

As AI technology evolves, Chief AI Officers face the challenge of moving beyond operational efficiency to true business transformation. This session will explore how AI can foster innovation, strengthen decision-making, and unlock new revenue streams. With real-world insights and the latest industry research, CAIOs will share practical strategies to harness AI for competitive advantage. The conversation will cover key trends, potential pitfalls, and what the future of AI-driven innovation holds for businesses. 

• How can AI initiatives be deeply embedded into core business strategies to support long-term growth and ensure alignment with overall business goals? 

• What leadership strategies are most effective in fostering innovation while integrating AI across different business functions? 

• How can organisations successfully balance AI-driven innovation with risk management to ensure sustainable transformation? 

• What key methods are successful companies using to scale AI while maximising return on investment (ROI)? 

Moderator: Yohan Lobo, Senior Industry Solution Manager – M-FILES 

Arthur Dodson, Head of Data and AI – THE LCP GROUP  

Mayesta Ewer, Digital Intelligence Exploitation - Head of Department - FINANCIAL CONDUCT AUTHORITY

J Rogel, CIO - Ortus Technology 

As AI advances, the potential for data-driven decision-making has skyrocketed, but are organizations truly ready for this shift? Senior AI leaders will discuss the readiness of teams, technology, and infrastructure for AI integration in strategic decisions. The session will explore how AI can enhance human judgment, reduce risk, and accelerate insights, using recent examples and studies. Attendees will gain an understanding of how to evaluate readiness and implement effective strategies for AI-enabled decision-making. Key takeaways will include best practices for aligning AI initiatives with business goals. 

Chris Pedersen, Chief Technology Officer and Partner- FRANKLY  

Niamh Kingsley, Director, Head of Product Innovation & Artificial Intelligence – DELTA CAPITA 

Maraim Masoud, Lead AI Engineer - MASTERCARD 

Murtz Daud, Director of Data & AI – BRITISH GAS 

• How can organisations ensure that investments in Generative AI align with business priorities for maximum impact? 

• What are the top-priority AI use cases that can drive substantial business value through the scaling of Generative AI? 

• What strategies can be employed to bridge skill gaps and scale Generative AI capabilities quickly and cost-effectively? 

• How can a holistic approach to data and AI integration support successful Generative AI implementation? 
• What are the key considerations regarding technology, people, processes, and mindset for driving business value with Generative AI at scale?

Chris Pedersen, Chief Technology Officer and Partner- FRANKLY 

David Teague, Director: Customer Data and Analysis – BBC 

The Challenge: Addressing fears and resistance to AI adoption within a diverse, small team across three global locations. 

The Approach: Identifying a clear value proposition, demonstrating tangible benefits, and cultivating internal advocates to champion the change. 

The Breakthrough: Securing leadership buy-in to drive cultural acceptance and leveraging transparent communication to build trust. 

The Outcome: A transformed mindset across the company, where employees embrace AI with confidence, recognising its value and potential. 

AI is transforming industries, but can it address systemic issues like financial exclusion? This session dives into how ethical AI and data collaboration are being used to bridge gaps in financial access and empower underserved communities. Through real-world case studies, it highlights practical strategies for leveraging AI to create scalable, inclusive innovation. Attendees will gain insights into overcoming regulatory challenges, fostering impactful collaborations, and ensuring AI drives meaningful change for everyone—not just the privileged few. 

• How can organisations scale AI initiatives beyond the pilot phase and successfully integrate them into daily operations across multiple departments? 

• What are the best practices for developing a flexible AI infrastructure that can evolve with changing technology and business needs? 

• How can companies manage the technical, regulatory, and risk-related complexities involved in large-scale AI adoption? 

• What metrics and evaluation methods can be used to measure the success of AI initiatives and refine strategies as AI becomes more integral to business operations? 

Chaitanya Krishna, Head of Digital, AI (Data & AI) – NORTON MOTORCYCLES 

Mayesta Ewer, Digital Intelligence Exploitation - Head of Department - FINANCIAL CONDUCT AUTHORITY 

Stephen Hunter, Head of AI – WILL+PARTNERS

This talk will address how the intersection of AI, data science, and healthcare is transforming patient care and operational efficiency, focusing on key questions such as: 

• How can machine learning (ML) and AI optimise vehicle telematics for emergency services, ensuring operational readiness and safety?
• How can AI-based diagnostic tools, including computer vision and ML classiers? What role do large language models (LLMs) and generative AI play in predicting and preventing critical equipment failures?
• What strategies enable scalable, cost-effective AI solutions to improve patient outcomes and streamline healthcare operations?
• How can collaboration between data science, digital innovation, and medical elds drive advancements in global public health?

This presentation will explore these questions through real-world applications, emphasising how AI models, such as LLMs and ML classiers, are transforming healthcare delivery and emergency response systems.