(Panel) What Next? How to Advance AI/XR/Digital Twin Projects From Pilot to Production

You’ve completed a successful pilot, presented your business case, and secured the budget to continue your journey with emerging technologies like AI, XR, and digital twins. Now comes the real challenge: Scaling. How do you implement at a larger scale, manage more devices and content, and expand deployment across multiple teams, sites, and systems? In this session, industry leaders share practical insights and proven strategies for deploying, scaling, and sustaining AI, XR, and digital twin solutions in the enterprise.

• Challenges of scaling AI, XR, and digital twins across diverse devices, users, and locations amid a fragmented and ever-changing market and lack of standardization
• Scalability factors: Hardware maturity, legacy infrastructure, outside integrations, network bandwidth, energy requirements, security, etc.
• Device management and ongoing maintenance (access control, charging, hygiene, lifecycle management, etc.)
• XR streaming and cross-platform support for distributed workforces
• Effective budgeting and continual ROI justification
• Content development and management, including AI-assisted content creation
• Ease of updates and ensuring reliable technical support
• Employee training and approaches to change management