Generative AI holds immense potential to revolutionise sectors like banking, healthcare, and government—but innovation in these fields must operate within tight regulatory and compliance boundaries. This panel brings together leaders from regulated industries to explore how they are unlocking AI-driven transformation without compromising on ethics, safety, or governance.

• Balancing agility and control: Driving Gen-AI experimentation while maintaining regulatory compliance
• Rethinking guardrails, tooling, and internal policies enable safe AI deployment at scale
• Identifying high-value, low-risk entry points for Gen-AI in compliance-heavy environments
• Making infrastructure and tooling decisions that meet both innovation and compliance needs

In this session, Anthony Puleo, who leads the strategic roadmap and AI integration within AstraZeneca’s Global Supply Chain & Strategy organization, will share how the company is building toward a self-healing, AI-native operating model. The talk will highlight AstraZeneca’s practical approach to enabling AI at scale—through enabling foundational infrastructure and targeted use cases delivering measurable value. The importance of digital twin technology, which is already saving over 2,000 hours of manual effort annually, and the impact to decision-making will be a focal point. Attendees will gain insights into:

• The essential enablers for successful generative AI adoption in supply chains
• How to prioritize high-impact AI use cases that drive business outcomes
• The evolving role of supply chain professionals in an AI-augmented future
• The orchestration power of large language models (LLMs) across software ecosystems
• Connecting strategic goals to real-time decisions via digital twins and prescriptive analytics

Anthony Puleo, Director Data Science & AI, Astrazeneca