Stephanie Montgomery
2026 Speaker

Stephanie Montgomery

Sr Vice President, Research and Best Practices

XR Association (XRA)

About

Stephanie Montgomery serves as the XR Association’s Senior Vice President of Research and Best Practices. XRA’s mission is to promote the responsible development and thoughtful advancement of XR that fosters positive societal outcomes. Ms. Montgomery manages the implementation of XRA’s research agenda, development of its catalog of industry-leading best practices and guides its Health and Inclusion committees. She previously served the ICT industry as the Vice President, Technology and Standards at the Telecommunications Industry Association running their standards development organization. While there she launched new programs in the areas of smart cities and intelligent transportation systems. She is a recipient of the American National Standards Institute’s prestigious Meritorious Service Award.

2026 Sessions

Oct 1311:35 AM12:20 PM
Green BreakoutPanel

(Panel) Empowering the Workforce: AI & XR for Training, Remote Support, and Work Instructions

Atrium Ballroom A

Training, remote support, and augmented work instructions are among the most widely adopted AI/XR use cases, but success requires redesigned workflows and sustained adoption.  As organizations weigh return to office policies, distributed teams continue to rely on AI/XR tools to share knowledge, access information, and learn on demand. In this session, end users share how they address real-world constraints like legacy infrastructure and workforce variability to deliver just-in-time guidance, instant expertise, and standardized training across locations. Topics include: – Remote support : Enabling real-time expert guidance, including video assist, annotation, and session capture – Work instructions : Providing hands-free, contextual guidance via AR overlays, 3D models, and step-by-step instructions – Training & simulation : Delivering immersive, repeatable onboarding, upskilling, and soft skills development with AI-driven personalization; simulating high-risk, rare, or complex scenarios – Workflow integration : Embedding AI/XR into frontline systems (LMS, field service, knowledge bases) – Content development : Building and maintaining scalable 3D, video, and simulation content; capturing institutional knowledge – AI augmentation : Leveraging AI agents for knowledge retrieval, guided troubleshooting, and conversational support – Measurement & ROI : Tracking KPIs like time-to-proficiency, error rates, first-time fix, downtime reduction, and retention – Challenges & limitations : Device management, connectivity, certification/validation, cybersecurity, and organizational change