• 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? 

In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.

To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.

AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:

• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks

Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.

• 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? 

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. 

• 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?

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. 

The success of AI initiatives hinges not just on technology but on people. This session will provide actionable insights on how leading organisations are addressing the AI skills gap, developing in-house talent, and establishing partnerships with educational institutions. We will cover best practices for upskilling and reskilling teams to meet the demands of AI and discuss how businesses are leveraging AI to predict future talent needs and create a pipeline of AI-savvy employees. 

• 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)? 

• 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?