Where enterprise teams move AI, XR, and digital twins from pilots to operations.
Atlanta, Georgia · October 13–15, 2026
Built for enterprise adoption, not innovation theater.
The Augmented Enterprise Summit brings together the people turning emerging technology into operating capability: enterprise teams, technology leaders, solution providers, and practitioners working through deployment, integration, security, training, change management, and ROI.
A practical forum for teams beyond the pilot stage.
The most valuable conversations happen after the demo works. The Summit focuses on the harder questions: where the technology fits, who owns it, how it scales, and what breaks when it meets real operations.
The enterprise teams responsible for adoption, rollout, and operational results.
The Augmented Enterprise Summit is designed for enterprise innovation, operations, IT, digital transformation, training, safety, engineering, field service, and business leaders evaluating the next layer of workplace technology.
Enterprise leaders
Decision makers and operators responsible for pilots, rollouts, budget, governance, and organizational adoption.
Practitioners
Teams working through implementation details: integration, data, devices, workflows, training, support, and user acceptance.
Solution partners
Vendors, consultants, and platform companies with practical answers for enterprise buyers and credible points of view on the market.
Built around the teams doing the work.
The Summit audience is strongest when it combines enterprise operators, implementation teams, technology leaders, and practical solution partners in the same room.
Featured enterprise voices include speakers from Target, General Motors, Novartis, PepsiCo, Walmart, Boeing, Caterpillar, AECOM, Southwest Airlines, The Coca-Cola Company, Ford Motor Company, Lockheed Martin, Boston Scientific, and BD.
What Summit 2026 will cover.
The agenda will focus on technologies and use cases that are moving from experimentation into operational reality.
AI in enterprise workflows
Computer vision, agents, machine learning, knowledge systems, automation, and the governance questions that follow.
XR and spatial computing
Training, remote expert support, design review, simulation, field work, and frontline productivity.
Digital twins and connected operations
Visualization, predictive operations, data integration, asset intelligence, and the bridge between physical systems and digital decisions.