Breaking Down the Four Pillars of AI for Intermodal: Applied AI
Members Only Webinar
In this next session of IANA’s Four Pillars of AI for Intermodal webinar series, Chris Machut and Mark McKendry turn their focus to Applied AI - also known as Physical AI - and how AI systems move beyond software to interact directly with the physical world of intermodal operations.
Building on earlier discussions around large language models, AI for analytics, and AI Agents, this session addresses the final step in the journey: How AI connects digital intelligence to real-world assets, events, and workflows. Chris and Mark will explore how data from cameras, sensors, gates, and equipment becomes actionable when paired with analytics and agents - and where the real operational value is created.
Grounded in real-world intermodal environments, the discussion will examine where Applied AI is already being used today - such as asset identification, condition detection, event capture, and exception verification - as well as where limitations, accuracy, and governance boundaries must be clearly understood. The session will emphasize practical deployment considerations, including reliability, trust in physical data, and the importance of keeping humans accountable when AI influences real-world outcomes.
Attendees will be invited to participate in interactive polls and discussion to share how their organizations are thinking about applying AI at the edge, where confidence is emerging, and where concerns still remain as AI systems increasingly touch physical operations.
Join the conversation to learn from operational experience, contribute your perspective, and help inform Intermodal Association of North America’s ongoing educational efforts as the intermodal industry explores how Applied AI can connect insight, execution, and the physical movement of goods - safely, responsibly, and at scale.