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 

We will hear insights from the Carbon Action Report 2026, highlighting the cost, disruption, and disclosure pressures driving supply chain decarbonization, and explore how Process Intelligence enables organizations to turn sustainability commitments into operational execution. The session concludes with an interactive peer discussion among sustainability, procurement, and supply chain leaders.

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?