Coffee, tea and light snacks available

AI promises sustainability – while simultaneously consuming massive resources. Who owns the data, whom do we trust, and how sovereign are we really?

Workgroup 1: Trust & Data Governance

Workgroup 2: Resources & Sustainability

Workgroup 3: Skills & People

Workgroup 4: Sovereignty & Ethics 

Disrupted supply chains and stricter sustainability requirements are pushing companies to embed ESG and resilience directly into day-to-day procurement. Agentic AI can help—but without context on dependencies, corporate goals, and procurement rules, AI agents remain limited. This presentation will show how an integrated context model enables AI-driven procurement decisions, from automated risk mitigation to sustainable supplier management.

Faced with supply chain disruptions, rising costs, and tighter disclosure mandates, enterprises must move from high-level ESG commitments to operational decarbonization. Informed by key insights from the EcoVadis Carbon Action Report 2026, this panel explores the core foundations of decarbonization in an AI-ready enterprise. Industry leaders will discuss how to seamlessly integrate carbon data into daily operations—from product design and procurement to process execution—transforming sustainability targets into scalable, cost-effective business capabilities.

What if we could see hunger crises coming months in advance - and act before they unfold? Advances in AI, process intelligence, and digital infrastructure are enabling faster, smarter, and more effective responses to global food insecurity. This session brings together leaders from humanitarian innovation and technology to discuss how emerging technologies can strengthen resilience, optimize food systems, and help millions access food more reliably. Through real-world examples, we’ll explore what works, what doesn’t, and what’s needed to move from experimentation to global impact.

Greenpixie will share emerging insights from production customers, R&D program and AI Working Group of enterprise customers, partners, and platform vendors. An interactive workshop will put all attendees at the center. Together, we’ll explore the AI sustainability challenges that matter most, where organizations face their biggest internal hurdles, who needs the data and what decisions it must support, where it should be surfaced, and which platforms and workflows it needs to connect with.

Companies adopting AI struggle to quantify its environmental impact and anticipate its effect on their carbon footprint and decarbonisation targets. Existing references are largely based on lab benchmarks rather than real-world deployments, overlooking the actual energy, hardware and infrastructure footprint of AI at scale. Ahead of the public release of the results at the Geneva AI Summit 2027, three participants in a Resilio study aimed at this gap will discuss the challenges they face as AI users, providers and institutional facilitators, and share their expectations on measuring AI’s environmental impact.

Between corporate governance and start-up speed: how do we bring AI to scale responsibly – and who empowers people to do it?