Ivan Mortimer-Schutts

Global industry organisations are increasingly scaling the use of data and AI to enhance sustainability and resilience across their global value chains. While there is untapped potential to harness data from the built environment and manufacturing sector, governance and interoperability frameworks are key to scaling impact without undermining trust, control and economic incentives.

We are witnessing a shift in carbon accounting for Scope 3 emissions from corporate-level reporting to more granular, product-level carbon footprint. In parallel, companies are likely to move from enterprise-wide data exchanges to more precise, machine-level data flows. What implications and opportunities does this present for how we build and govern digital infrastructure?

Participants on this panel will define the challenges industry faces and outline the contours of emerging partnerships and initiatives to enhance data quality, trust and scalability needed for a future world of AI-driven decision making and compliance.

Governance, the Architecture & Standards for the Digital Economy: Striving for international connectivity and trust in a fragmented world.

How can governments act locally but support global interconnectivity and the development of the digital economy? What standards, conventions, or infrastructures do we need to adapt or create to enhance access and empower citizens and companies to participate on equal footing in the global digital economy while addressing risks and protecting sovereignty?