• 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? 

As the AI hype spreads and thins, like a fire clearing the brush, people, resources, and organizations continue to feel the heat. 

Most organizations have started to address workforce concerns related to AI – but are they effective? 

Listen to the former Chief AI Officer and CFO for the U.S. Department of Housing and Urban Development discuss his learnings while engaging with the workforce at a large multi-billion-dollar Federal agency. 

Using his All-In approach, Mr. Singh began the transformation process with simple engagement and let people do the rest. 

• 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? 

• 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? 

Syed Zahedi, Head of Data Science – INNSWORTH ADVISORS LIMITED 

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. 

Alessandro Rozza, Chief Research Officer & Chief Machine Learning Scientist – LASTMINUTE.COM

• 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?

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. 

Syed Zahedi, Head of Data Science – INNSWORTH ADVISORS LIMITED 

• 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)? 

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

Tejas Pethkar, Deputy Head of AI – MAP PATIENT ACCESS LIMITED 

• How can AI-powered predictive analytics help businesses anticipate risks, such as supply chain disruptions or cyber threats, and mitigate their impact? 

• What are the most effective ways to integrate AI into crisis management strategies to maintain operational continuity and protect profitability? 

• How can AI tools for decision-making be implemented cost-effectively to enhance business resilience without overspending? 

• How can AI accelerate post-crisis recovery, helping businesses minimise losses while maintaining momentum and stability? 

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