Amber Randon

Dow is redefining how operational talent is developed, deployed, and supported across its global manufacturing footprint. With 22,000+ employees contributing skills data and frontline assets ranging from 5 year old to 70 year old facilities, the company is building the workforce foundations required for AI enabled operational excellence. In this session, Lisa shares how Dow is modernizing work itself to support safer, more agile, and more resilient operations in an era where every role is expected to evolve within 12–18 months.

• Modernizing work processes and tools before modernizing roles, enabling AI ready operations by capturing 30–70 new dimensions of worker data that reflect real world operational needs
• How skills data from 22,000 employees is enabling smarter redeployment, revealing hidden expertise, and supporting frontline workers as they build new capabilities in data interpretation, analytics, and AI enabled troubleshooting, without requiring them to become data scientists
• How AI driven workforce modelling is helping Dow anticipate skills gaps, support new labour models, and collaborate across industry and academia to build scalable, cross sector solutions that strengthen operational resilience and future proof the workforce