Session Description

Global supply chains are under pressure from climate volatility, extreme weather events, and rapidly shifting regulations. These disruptions not only affect costs and efficiency but also expose critical vulnerabilities in food, energy, minerals, and manufacturing systems.

In this session, we’ll explore how artificial intelligence is being applied to build supply chain resilience. From predictive analytics and digital twins to climate-aware scenario planning, our speakers will share practical insights on how AI can strengthen decision-making, reduce risks, and enable organizations to adapt faster.

Expect a highly conversational, podcast-style discussion with space for audience input. We’ll move beyond compliance frameworks to uncover actionable pathways for creating robust, adaptive supply chains that can withstand the climate shocks of tomorrow.

What we will be talking about

How can AI map complex, multi-tier supply chains to reveal hidden climate vulnerabilities.
Practical use cases: demand forecasting, logistics optimisation in extreme weather, predictive cooling in data centers, reducing food waste.
Building redundancy: how can AI-driven insights support strategic decisions for adaptive capacity?
The role of open data, digital twins, and advanced analytics in climate-resilient supply chains.
Integrating climate intelligence into long-term planning and mandatory reporting.
Barriers to adoption: what’s holding organisations back, and how can we accelerate uptake