2026 Agenda

Registration & Breakfast

International Ballroom Foyer

Opening Remarks from Chair

Atrium Ballroom A

• Brad Scoggin

Opening Keynote - Let's Get Physical - Enterprise AI in the Real World (Niantic Spatial)

Atrium Ballroom A

The vast majority of all global economic activity happens not in the cloud, but on the ground. In the real world, in physical space. For AI systems to make a difference in the real world, they must truly understand it — and be able to act upon it. Generative simulations simply don’t match ground truth. Digital twins go stale the moment they are built. Robots trained in synthetic environments fall down or lose their way. This keynote explores how to close that gap: what it takes to equip your enterprise with a living, real-world foundation so your teams can deploy physical AI with confidence.

• Inhi Cho Suh

(Panel) Preparing for AI, XR, and Digital Twins: A Roadmap for Successful Integration

Atrium Ballroom A

“How do we actually get started, and what does it require from our data, systems, and teams?” In this session, enterprise adopters break down how to turn AI, XR, and digital twin concepts into pilot projects that produce compelling, measurable results. Panelists will share practical guidance on identifying high-impact use cases, assessing data pipelines and content availability, integrating with existing IT systems, and more. Key topics include: Use case identification : Mapping business problems to AI/XR/digital twin capabilities; validating with end users, available data, and expected ROI Data and systems readiness : Assessing data quality, existing content, and interoperability with ERP, PLM, IoT platforms, and other enterprise systems Technical challenges and requirements : Fidelity/photorealisim, latency, connectivity, needed infrastructure to improve end-user experience, security, etc.  Platforms and hardware selection : Comparing vendors based on maturity, features, integration complexity, and lifecycle support Stakeholder alignment : Engaging IT, engineering, operations, finance, legal, and safety teams; building a business case for leadership Pilot design : Defining success metrics (KPIs), implementing data capture, and setting realistic budgets and timelines Common pitfalls : Preventing stalled pilots by planning for integration, ownership, and change management from the outset

• Mark Chabot
• Sam Liu
• Stacy Hall
• Isaac Jones
• Muhammad Anwar
• Kevat Chavan

Case Study - LANDCROS AI Assist Pro: From Pilot to Production with Ramblr, NVIDIA, and Dell

Atrium Ballroom A

In this session, Hitachi/LANDCROS shares a firsthand account of taking visual intelligence from pilot to production across heavy-equipment workflows, as well as its vision for bringing these capabilities to wearable devices. The solution combines Ramblr ONE, NVIDIA XR AI, and development powered by Dell workstations. Hear directly from Hitachi/LANDCROS about what drove the investment, how the technology works, and the value it delivers to its customers.

• Trey Morton
• Greg Barbone
• Gabe Weiss
• Roman Hasenbeck

AM Break: Expo Exploration & Networking

International Ballroom

(Panel) A New Shared Reality: Redefining Design, Viz & Engagement with AI, XR & Digital Twins

Atrium Ballroom B

AI, XR, and digital twins are reinventing the way we design, visualize, and interact with products, data, and the built world; while the spatial age is redefining customer experience as we know it. Explore the next frontier of visualization and commerce as practitioners share how they’re delivering real-world impact: 1) Design & operational visualization: Accelerating design cycles, enhancing collaboration, and optimizing lifecycles. 2) Customer engagement & growth: Reaching new audiences, boosting sales, and unlocking deeper consumer insights.  Topics include: – Workflow integration : Embedding AI/XR into enterprise systems to iterate faster, reduce waste, and shorten time-to-market – Collaborative design : Real-time 3D collaboration to improve decision-making and stakeholder alignment – Reality capture & 3D pipelines : Converting physical spaces and CAD/BIM/scan data into immersive assets with photogrammetry, LiDAR, no-code/generative 3D tools, etc. – Simulation & planning : Using digital twins and real-time data for layout optimization, scenario modeling, and process simulation – Insight-driven decisions : Making complex data intuitive and actionable; VR-based data capture – Next-gen customer experiences : From product visualization and configuration to virtual try-on and immersive commerce – AI-powered personalization : Recommendation engines and AI assistants for tailored discovery, education, and customer support – Business impact & scaling : Tracking engagement, conversion, and other metrics; building sustainable content and governance workflows

• Lorna Jean Marcuzzo
• Max Sikorski
• Ramondo Robinson
• Vijay Jeyabal
• Brennan White
• Mark Sage

(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

• Stephanie Montgomery
• Darryl Wright
• Anna Bourdais
• Preston Bosarge
• Dawn Peterson
• Brent Blas
• Pablo Ortega

Case Study - From Drone to Twin: The Fast Path to Photorealistic 3D Models (Spexi)

Atrium Ballroom B

Enterprises want photorealistic digital twins, but most pipelines stall out in pilots and point clouds. Spexi and Niantic Spatial’s drone-to-3D pipeline is already live at scale, turning real-world drone captures into production-ready Gaussian splats fast enough for enterprise timelines.

• Bill Lakeland

Case Study - From Prototype to Production: How Embodied AI Agents Drive Measurable Enterprise Performance in XR (Kinemeric)

Atrium Ballroom A

In this session, Lucky Lance Gobindram and Ashwin Gobindram share how Kinemeric has taken embodied AI agents — their “Believable Humans” — from early prototypes into production-grade deployments inside enterprise training and sales workflows. Drawing on real use cases, including AI-driven VR sales training for Lindus Construction and MR/VR onboarding for distributed field teams at GAF Roofing, this talk focuses on what actually works in the field. Attendees will learn: How to architect embodied AI inside XR for reliability and scale — spanning the experience layer (Spatial Studio), agent intelligence (Intelligence Core), and enterprise deployment and analytics (Cloud + Insights) Why open-ended LLMs alone aren’t enough — and how deterministic guardrails and structured conversation design unlock predictable, repeatable outcomes How tool-calling and knowledge-grounded workflows tie AI agents to real product, pricing, and policy logic — so Believable Humans respond accurately, not just convincingly Hard-earned lessons from scaling beyond pilots, including content iteration, stakeholder alignment, and the deployment friction that doesn’t show up in demos This is a practical, operator-level talk about integrating immersive AI systems into enterprise workflows — not a future vision or theoretical narrative. Attendees will walk away with a reproducible framework for identifying high-impact use cases, building robust systems, and scaling immersive experiences that deliver measurable business value: faster ramp time, better customer conversations, and consistent performance across regions.

• Lucky Lance Gobindram
• Ashwin Gobindram
• Andrew Kelley

Networking Lunch / Expo Exploration

International Ballroom

Case Study - From CAD to OpenUSD: Building Trek’s 3D Digital Bike Factory (Trek Bicycle)

Atrium Ballroom B

Scaling high-quality 3D product content across a complex product catalog requires more than better asset creation. It requires a repeatable digital pipeline built on trusted product data. At Trek, we are moving from one-off creative workflows toward an automated CAD-to-OpenUSD pipeline that turns engineering and product data into structured, reusable 3D assets. This session will go behind the scenes of that pipeline and show how Houdini is used as an orchestration layer to ingest CAD, connect product context from PLM and BOM data, optimize geometry procedurally, and generate deterministic OpenUSD foundations for downstream use. The goal is not to remove artists from the process. The goal is to separate repeatable data-heavy work from judgment-based creative work. Automation establishes a reliable baseline; artists build on top of that foundation with the materials, decals, polish, and product accuracy that represent the Trek brand. Attendees will leave with practical strategies for structuring scalable 3D data flows, clarifying ownership between automated systems and creative teams, and building a durable OpenUSD foundation capable of supporting rendering, configurators, interactive product experiences, and future enterprise digital twin workflows.

• Michael Hammond
• Clayton Krause

Case Study - Samsung Galaxy XR: What, Why and How

Atrium Ballroom A

Join Samsung’s Solutions Development team to review Galaxy XR and hear real world use cases.

• Cheri Malo
• Christine Ladd

Case Study - Developing Immersive Experiences Within Digital Twins (Jacobs)

Atrium Ballroom B

At Jacobs we have been thinking about Digital Twin experiences in new and innovative means. Our unique approach to client and project engagement provides the opportunity to implement advanced visualization, UI/UX and XR solutions within our Digital Twin strategies and solutions.

• Jim Kessler

Case Study - When AI Leaves Its Lane: How Technologies Mutate, Migrate, and Create Breakthrough Innovation (Coca-Cola)

Atrium Ballroom A

Innovation accelerates when technologies escape the boundaries they were designed for. In an AI‑driven enterprise, ideas no longer stay in their original lanes—they mutate, migrate, and recombine in unexpected ways. This session explores what happens when tools built for one environment are intentionally deployed in another, creating entirely new forms of value. Drawing from cross‑industry experimentation and enterprise case studies, we’ll examine AI as the catalyst that allows innovation to behave more like biology than engineering. Attendees will gain insight into how breakthrough innovation emerges—not from optimization, but from letting ideas evolve beyond their intended habitat.

• Keisha Nelson

Case Study - Faster Decisions, Fewer Prototypes: How Mondelēz is Applying AR Across Global R&D Teams

Atrium Ballroom B

Mondelēz International is exploring how emerging technologies can help accelerate product and packaging development, tackling one of the industry’s most stubborn bottlenecks: early packaging prototyping. In this case study, I’ll share “Quick Pack”, a mobile AR experience built in Zappar’s Mattercraft tool that lets packaging teams choose a format, resize it in real time, and change colour, texture, and branding before anything is physically made. The session will cover how low-code 3D tools can move XR from innovation experiment to practical R&D workflow, helping teams reduce handmade prototype dependency, accelerate decisions, and put packaging concepts in stakeholders’ hands faster across global consumer goods teams without specialist 3D skills. I’ll also touch on how these same AR tools are opening up new possibilities for consumer research, allowing teams to test and validate concepts with consumers earlier in the development cycle. Key themes: AR as a practical R&D tool (not just an innovation experiment) Reducing physical prototype dependency in packaging development Enabling faster, more collaborative decision-making across global teams AR-enabled consumer research and concept validation Low-code 3D tools making XR accessible without specialist skills

• Matt Tomlinson

Case Study - Evolution of XR Training at The Volvo Group

Atrium Ballroom A

This talk will discuss the evolution of XR training initiatives at the Volvo Group, internal and external teams we have working on AR, VR, and Projected Reality use cases. We started with a hybrid Computer/VR application for a technical training competition in 2018, VISTA Volvo VISTA World Championship 2026, then moved quickly into technical training at scale through VR on commissioning of an electric battery in our trucks. More recently, the social and immersion capabilities of VR have been emphasized, engaging Volvo sales and technical SMEs to inhabit alternative roles and experience product details and functions. Our VR methods have matured with new devices, including hand tracking, passthrough VR, and even haptic support, and are deployed across nearly 90 countries worldwide.

• Matthew Connors

Case Study - The Store as a Spatial Operating System: Designing AI and XR Around the Retail Frontline (Macy’s)

Atrium Ballroom B

Retail colleagues often have to step away from customers to find information across disconnected systems. AI and spatial computing can bring that intelligence directly into the environment where work happens. This session examines retail applications across guided selling, store operations, workforce training, and experience visualization. It explores how spatial experiences can support colleagues while protecting their attention and judgment. Attendees will gain a practical framework for deciding when XR creates measurable value and when a simpler interface is more effective. Attendees will learn: Identifying retail problems that benefit from AI and spatial computing Designing spatial experiences around frontline workflows and human judgment What enterprises can address to move XR initiatives from pilot to production

• Santosh Subramanyam

Case Study - Do you want to win, or do you want to lose? (Squint)

Atrium Ballroom A

Every industrial organization has tried to make CI continuous. But they all hit the same wall: not enough experts, not enough hours, not enough coverage. Squint’s Industrial AI changes the math (no stopwatch required). Upload video from any line and let a Lean Manufacturing Agent generate time and motion studies, Yamazumi charts, recommendations for improvement, and optimized work instructions. See how AI-powered agents can scale Lean Six Sigma in your organization, so your CI teams can balance entire plants, and coordinate work across every operator.

• Devin Bhushan

PM Break: Expo Exploration

International Ballroom

(Panel) Return on Technology: Measuring the Success of AI, XR & Digital Twins

Atrium Ballroom A

While many organizations have validated AI, XR, and digital twin use cases, translating early success into sustained investment – especially amid economic uncertainty and workforce upheaval – requires clear, defensible ROI. In this session, enterprise leaders share best practices for defining, measuring, and communicating the business value of emerging technologies. Topics include prioritizing measurable use cases, capturing both quantitative and qualitative impact, managing stakeholder expectations, and more: Success criteria : Establishing baselines; aligning technical metrics with business KPIs (productivity, revenue, cost) Use case selection : Prioritizing use cases with measurable outcomes, accessible data, and low integration overhead  Data capture & KPIs : Capturing reliable data, connecting to analytics systems, and tracking outcomes like time-to-proficiency, error reduction, and downtime avoidance Cost modeling : Evaluating total cost of ownership vs. projected savings and revenue  Indirect value : Incorporating qualitative factors like employee experience, safety, and engagement  Benchmarking : Comparing results against legacy processes, alternatives, and industry benchmarks  Communicating the business case : Translating results into financial terms (ROI, payback period, NPV) Managing expectations : Setting realistic timelines for early results vs. scaled impact Organizational enablers : Role of executive sponsorship, internal champions, and cross-functional alignment

• Anshel Sag
• David Yin
• Laura Kinkle
• Brian Nevinsky
• Pablo Ortega
• Brian Laughlin

Case Study - Finding 7,000 Needles: How AstraZeneca Scaled AR Wayfinding

Atrium Ballroom A

Finding the right valve or sample port can feel like hunting for a needle in a haystack, until AR turns that haystack into a map. AstraZeneca built and scaled an internal augmented reality wayfinding solution that maps more than 7,000 assets and guides technicians and QC personnel precisely to the point of work. This talk shares how we moved past pilot purgatory, what “good enough” looks like, and why the least flashy solution often delivers the biggest operational impact.

• Danny Allen

Case Study - Spatial Computing at Scale: Why Android XR Is Ready for Business

Atrium Ballroom A

Spatial computing has evolved from experimental pilots into business operations, and Android XR delivers the open foundation enterprise IT requires. Android XR meets development teams where they already build, allowing immersive creators to leverage Unity and OpenXR while traditional Android developers bring existing applications into 3D environments using Kotlin and Jetpack. It provides hardware versatility across diverse workflows, spanning high-immersion Video See-Through (VST) headsets for complex training to lightweight Optical See-Through (OST) smart glasses for frontline productivity. And, it’s backed by out-of-the-box enterprise-grade security and proven deployments across major global organizations. Android XR is ready for business today. Learning Topics: Flexible Development Toolchains: Leveraging Unity and OpenXR for 3D immersion with Jetpack and Kotlin for making native Android mobile workflows spatial ready. Multi-Form-Factor Deployment: Supporting both VST headsets and OST glasses under a single, consistent OS architecture. Enterprise-Grade Trust: Leveraging native Android security controls and device fleet management out of the box. Production Case Studies: How large enterprises are successfully operationalizing spatial computing at scale.

• Hugo Swart
• Sean Ginevan
• Sahil Bansal

Closing Remarks from Chair

Atrium Ballroom A

• Brad Scoggin

Official Networking Cocktail Sponsored by Dell Technologies & NVIDIA

International Ballroom

Registration & Breakfast

International Ballroom Foyer

Opening Remarks from Chair

Atrium Ballroom A

• Mark Sage

Opening Keynote - From 3D projects to 3D programs: the infrastructure behind repeatable 3D (Unity)

Atrium Ballroom A

Most industrial organizations have invested heavily in 3D but are still rebuilding it for every new use case. Assets get converted by hand, optimized for one target, then recreated when the next team needs them. The cost is not only duplicated effort; it is slower decisions and more launch risk, because the model someone is reviewing isn’t the latest one. This keynote explores how companies can make the shift from one-off projects to repeatable programs, and looks at what changes when engineering data flows automatically into real-time applications. One governed source can feed design review, training, virtual commissioning, configurators, and service, and that same foundation helps ensure AI can safely improve your 3D programs.

• Sarah Lash

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

Atrium Ballroom A

Moving from a successful pilot to production deployment is where many AI, XR, and digital twin initiatives stall. In this session, industry leaders focus on the operational, technical, and organizational work required to scale across teams, sites, and global enterprises. They’ll share lessons learned from real-world rollouts and explore what it takes to operationalize these technologies in the workplace, from workflow integration and governance to scaling infrastructure, content, and adoption over time. Hear about: Scaling architecture & integration : Standardizing across cloud, edge, and on-prem; integrating with enterprise systems; ensuring interoperability    Data pipelines: Ensuring reliable data flow across systems, tools, AI models, simulations, and real-time applications Device & platform management : Managing XR, edge, and spatial environments; supporting multiple devices, operating systems, and AI/visualization frameworks AI & digital twin operations : Managing model lifecycles and simulation environments (training, versioning, monitoring, physical-digital synchronization) Performance & reliability : Addressing latency, bandwidth, compute, and streaming constraints; establishing SLAs, monitoring, telemetry, and support  Content, model & simulation management : Scaling creation, versioning, and distribution of XR content, AI models, and simulations with consistent quality Security & compliance : Enforcing security policies, identity, and access controls; protecting sensitive data; meeting regulatory requirements Cost & governance : Managing total cost of ownership across hardware, compute, licensing, and infrastructure; defining roles, accountability, and decision-making models Change management : Driving adoption, embedding new tools and workflows into daily operations, and sustaining training at scale Common pitfalls : Fragmentation, unclear ownership, underestimated complexity, lack of data readiness, insufficient planning

• Bryan Bassett
• Paul Davies
• Randy Burnsworth
• Balamurali Rengarajan
• Dustin Sleight
• Andy Hunt

Keynote - Step into the future of logistics with UPS - See How UPS is Designing the Logistics Network of the Future with RFID - Creating a Package with a Brain & Voice

Atrium Ballroom A

Join us for an exciting and forward-looking event exploring how UPS is using RFID technology to transform global supply chains through greater visibility, automation, and real-time intelligence. Discover how UPS is leveraging RFID to create smarter, faster, and more efficient logistics operations for their customers. This keynote will highlight how UPS is helping organizations overcome traditional supply chain challenges while accelerating innovation across complex logistics networks. Attendees will gain insight into emerging trends, real-world applications, and the strategies driving the next generation of connected supply chains. Event highlights include: The future of RFID-enabled logistics Real-world UPS innovation and deployment strategies Smarter operations through automation and visibility Accelerating RFID adoption and business value RFID and AI Models Live Q&A with UPS leaders and industry experts Don’t miss this opportunity to explore how UPS is powering the future of intelligent logistics and connected supply chains.

• Darryl Forbes
• Jon Gurney Bell

AM Break: Expo Exploration

International Ballroom

Case Study – Immersive Design Reviews With Spatial Computing (RTX)

Atrium Ballroom B

For more than a decade, Raytheon has practiced Immersive Design Reviews (IDR) for engineering and manufacturing, managing a continued evolution of deployed technology over the years. In each iteration of this capability we’ve examined how we might continue to improve upon the cost and schedule benefits IDRs have brought to our programs. Last year we embarked on the latest iteration of an internally-developed, immersive design review tool for both products and physical spaces. We chose the Apple Vision Pro as the platform for this experience and worked with one of our program teams to build out a simple immersive design review tool for an automated factory cell. Taking lessons learned from this experience we developed a generic simulation to share with programs, customers, and others including Augmented Enterprise Summit attendees.

• James Cooper
• Christopher Sullivan
• Justin LeBreck

Case Study - Leveraging Technology for Skilled Trade (NAPA Auto Parts)

Atrium Ballroom A

Creating content and platforms for skilled trade positions Utilizing AI to enhance jobs not replace Capture the power of partnerships Listen, capture, execute…. then go big

• Matt Crumpton

Case Study - Using XR Tech to Build the Cars of Tomorrow (General Motors)

Atrium Ballroom B

Our presentation will discuss how we at General Motors Manufacturing Engineering leverage Immersive and XR technology to develop products faster, more efficiently, with less cost, and deliver safer production equipment to our manufacturing plants. We will discuss how XR technology has been injected into the manufacturing development pipeline and what sort of benefits that has yielded.

• Dean Hu
• Devin Riley
• Jason Kohnert

Case Study - Real-World Challenges, Without the Real-World Risk: Building an Enterprise VR Training Program for Working on the Railroad (MTA Metro-North Railroad)

Atrium Ballroom A

Training the employees who operate one of the busiest commuter railroads in New York City comes with unique challenges. MTA Metro-North Railroad is using in-house-produced VR content and interactive 3D mapping to deliver training in hazardous environments, on equipment that isn’t always available, in locations that aren’t always accessible, and for life-critical safety procedures.  It’s real-world challenges without the real-world risk. This presentation will explore Metro-North’s journey from developing its first VR experiences in-house to scaling immersive training across eight locations. We’ll examine the process from identifying a training need through content development, production, deployment, and evaluation—and how emerging technologies such as 3D mapping, Gaussian Splats, and AI are shaping the next generation of railroad training.

• Lorne Lieb
• Luca Spensieri

Case Study - Augmenting Actual Reality at Gensler: Creative technology projects from my time in architecture, the years leading up to it, and the through-line between them.

Atrium Ballroom B

Augmented reality was never a singular discipline. It’s game engines and cinematography, sensors and interaction design, hardware, code and physical space all working in harmony. Translating between these fields is a discipline unto itself, built from decades of work across entertainment, animation, engineering and interactive media – and is now reshaping practice at the world’s largest architecture firm. Test fits are becoming user journeys, static spaces are becoming immersive experiences, lighting design is becoming an expressive storytelling platform. This exchange runs both ways. New ideas from the AR world can animate the built environment while centuries of thinking about what it means to occupy space can inform digital experience as the field evolves. And we can all have a lot more fun in the process!

• David Glicksman

Case Study - From 10 Headsets to 10,000: Operationalizing Spatial Computing at Scale (Insight)

Atrium Ballroom A

Proving the value of spatial computing in a controlled pilot is easy; deploying it across thousands of frontline workers, global facilities, and secure IT environments is where most enterprise initiatives stall. Scaling past the lab requires far more than compelling software. It demands enterprise-grade device provisioning, zero-touch enrollment, global logistics, identity management, and round-the-clock lifecycle support. In this session, learn why the channel ecosystem is the indispensable bridge between innovation and enterprise-wide adoption. We will break down how partnering with a solutions aggregator and systems integrator solves the operational gridlock of large-scale rollouts, streamlines multi-vendor procurement, and embeds spatial endpoints directly into your existing IT foundation. Attendees will gain an actionable blueprint to escape “pilot purgatory” and build a repeatable, enterprise-scale deployment model. Key Takeaways The “Scale Trap”:  Why direct-to-vendor procurement models break down the moment deployments move past the pilot phase. The Channel Advantage:  How channel infrastructure handles the heavy lifting, from staging, kitting, and MDM/UEM enrollment to global depot services. Enterprise Harmonization:  Strategies to align spatial hardware with existing enterprise security, networking, and governance policies.

• Patrick Schippers

Networking Lunch / Expo Exploration

Atrium Ballroom

Case Study - Advancing BIM for Bridges: Kiewit’s Integrated Engineer-Contractor Perspective

Atrium Ballroom B

Building Information Modeling (BIM) is reshaping infrastructure delivery. While BIM adoption in vertical construction is well established, its application to bridges is advancing rapidly as agencies and industry recognize its value beyond visualization. BIM for bridges is a data‑driven delivery platform that supports collaboration, constructability, and informed decision‑making throughout the asset lifecycle. At Kiewit, integrated delivery is fundamental to how we work, and BIM is a key enabler. This presentation provides an executive overview of BIM for bridges, including: What BIM means in the bridge context Key terminology and expectations (3D, BIM, MALD, Digital Twins, OpenBIM/IFC, LOD) 3D, 4D, and 5D BIM demands within Kiewit Benefits, challenges, and current limitations National efforts advancing BIM for bridges through AASHTO, FHWA, DOTs, and industry partners

• Zhengzheng Jenny Fu

Case Study - Operationalizing the XR Stack: Building XR Training Programs That Scale (ForgeFX)

Atrium Ballroom A

Many enterprise XR training initiatives succeed as pilots but struggle to become scalable, sustainable workforce programs. In this session, Greg Meyers, CEO and Co-Founder of ForgeFX Simulations, will break down the XR training stack, including simulation development, real-time 3D platforms, device management, content distribution, analytics, and deployment operations. Drawing on ForgeFX Simulations’ experience developing immersive training programs for heavy equipment, construction, energy, industrial, and government customers, Greg will show how early technology and program decisions determine whether XR training remains a one-off project or becomes a repeatable, measurable training system. Attendees will leave with a practical framework for building XR training programs that scale across teams, regions, equipment types, and operational environments.

• Greg Meyers

Case Study - Accelerating the Digital Thread with Unity Industry Solutions

Atrium Ballroom B

Live showcase of how Unity Pipeline Automation, Asset Manager, and Version Control establish a governed digital thread for simulation-driven asset changeovers.

• Chris Mulberry
• Katharine Gill

Case Study - Enterprise VR: Can We Stop Being Alone Together? (ExxonMobil)

Atrium Ballroom A

VR can put us in the same virtual world while pulling us out of the same real room.  That “alone together” effect has plagued many of our VIP demos and may be one of the quiet reasons enterprise XR struggles to move beyond pilots. This talk explores how to design XR experiences people actually want to adopt. Recently we utilized Augmented Reality solutions that are once again bringing people together because they create connection, have data pipelines that are secure, and are experiences that are easy enough for novices to pass on.

• Casey Jolley

Case Study - Bringing Discipline to XR: Why the Industry Needs a Periodic Table (AtkinsRéalis)

Atrium Ballroom B

The XR industry lacks a shared language for deciding what to deploy, where to deploy it, and how to scale it. Introducing the XR Periodic Table: a practical, lifecycle-based framework that classifies XR “capabilities” as repeatable building blocks targeting holistic project use cases rather than one-off showcases.

• Marvin Johnson

Case Study - Leveraging AI to Establish ROI (Alaska Airlines)

Atrium Ballroom A

Goodbye guesswork, hello proof. Let AI do the math! This real-life session shows how everyday users can put AI to work finding insights, saving time, and turning “we think it’s working” into results leaders can understand.

• Scott Burch

Case Study - Beyond the Screen: Designing Disney+ for XR

Atrium Ballroom B

As Disney+ moves beyond the screen and into XR, how do you design a viewing experience that feels just as immersive as the story itself? This case study explores the experience design decisions behind Disney+’s venture into XR and the development of immersive viewing environments that transport the fans to some of the most iconic story worlds. The session examines how the team balanced immersion, storytelling, and viewer comfort while building distinct experiences for these emerging XR devices.

• Vedang Kulkarni
• Daniel Baker

Case Study - Beyond the Pilot: Scaling Shop Floor Augmented Reality Across Manufacturing Operations (Northrop Grumman)

Atrium Ballroom A

Many enterprise XR initiatives succeed in pilots but stall before broader adoption. This session shares how Shop Floor Augmented Reality (SFAR) is being scaled beyond isolated use cases into a repeatable manufacturing capability that supports the digital worker at the point of work. Attendees will learn practical lessons in operationalizing AR across shop floor environments, including workflow alignment, user adoption, standardization, supportability, and enterprise integration. The result is a roadmap for turning augmented reality from a promising pilot into a sustainable, scalable operational tool.

• Roshan George
• Alex Niakoulov
• Austin Wilson

PM Break: Expo Exploration

International Ballroom

(Panel) Beyond Immersive: How AI is Reshaping Enterprise Today and Tomorrow

Atrium Ballroom A

AI adoption has accelerated across nearly every enterprise function, but moving from experimentation to production-grade systems requires disciplined execution. In this panel, industry innovators share how they’re deploying AI today, measuring value, and managing risk, cost, and complexity over time. Rather than surveying trends, the discussion focuses on practical approaches to cost-effective experimentation, safe implementation, and robust governance. Hear how organizations are integrating AI into existing systems and workflows, building internal capabilities, and balancing automation with human oversight. Topics include: Use case selection : High-impact opportunities aligned with data, talent, and business goals Types of AI : Choosing the right approach (predictive models, computer vision, NLP, generative, agentic, physical AI)  Data readiness : Preparing, labeling, and governing data to ensure quality, accessibility, and security Model development & integration : Build, buy, or hybrid; training models and embedding into workflows Lifecycle management : Versioning, monitoring, and continuous improvement Risk & safety : Implementing human-in-the-loop and managing bias, drift, errors, hallucinations, and harmful outputs through validation, monitoring, and guardrails Infrastructure & cost : Scaling inference across cloud, on-prem, edge; optimizing performance, energy use, and cost Governance & responsible AI : Establishing policies for traceability, accountability, and regulatory compliance; aligning with organizational values Workforce readiness : Upskilling employees, building trust, and embedding AI into daily operations Measuring impact : Linking model performance to business outcomes like productivity, cost savings, and quality Scaling adoption : Standardizing tools and processes for reliable, repeatable deployment Use cases : Automation, workflow optimization, customer support, predictive maintenance, quality inspection, personalization, software development, cybersecurity, and more What’s next : Convergence of AI with XR, robotics, and digital twins; early agentic systems and autonomous workflows

• Christina Tong
• Sabaita Mohsin
• Kenney Crooks
• Tejas Gajjar
• Shashank Kadetotad
• Chirag Agrawal
• Daniel Novotny

Case Study - Innovation in the Age of AI: Tinkering, Talent and Taste (Novartis)

Atrium Ballroom A

Generative AI is an unprecedented technology: it changes fast, it scales fast, it is operated via natural language, and it is probabilistic rather than deterministic — with outputs we cannot trace. AI can super-power innovation when we embrace its revolutionary character and revisit early principles of innovation from the Industrial Revolution. Tinkering -AI’s emergent capabilities can be discovered in the wild through experimentation. -Thanks to AI’s extraordinary capabilities for research, analytics and coding, low cost experiments and rapid prototyping can be run continuously. -Tinkering with AI delivers unique insights into the nature of the technology and into its continuous evolution, allowing for faster adoption and adaptation. Talent -Technical credentials and expertise in systems optimization do not guarantee success designing and implementing AI-powered solutions in the real world. Curiosity, imagination, determination, thoroughness and even storytelling are increasingly valuable traits. -Promising talent profile: deep domain, tacit and/or tribal knowledge, tinkering and problem-solving mindset, natural disposition to embrace new capabilities (via AI). -The talent may already be inside the organization. It needs to be identified, valued, empowered. Taste -The option surface is too large to search exhaustively. Selective judgment matters. -Choose which bets to place while the technology is still evolving rapidly. Be resilient and robust. Aim to be antifragile. -Avoid over-committing to any current state. Build adaptable solutions; stay adaptable.

• Xavier Hansen

Case Study - The Last Mile of Connecting Workers - Audio (Smurfit Westrock)

Atrium Ballroom A

We spend a lot of time providing tablets, smartphones and head-mounted devices to frontline workers for work instructions, training and reference materials. What we need to fully connect the deskless workforce to the right information is audio communications for timely, relevant delivery of critical information. In this session, we will explore the use of connected audio solutions that are proving to be immensely valuable in manufacturing.

• Scott Burkey

Closing Remarks from Chair

Atrium Ballroom A

• Mark Sage

Registration & Breakfast / Expo Exploration

International Ballroom Foyer

Opening Remarks from Chair

Atrium Ballroom A

• Stephanie Montgomery

(Panel) Combining IT & OT: Creating & Deploying Digital Twins to Solve Real-World Problems

Atrium Ballroom A

The convergence of 4D modeling, real-time data analysis, and advanced simulation has accelerated the evolution of digital twins, or synchronized virtual replicas of real-world assets, processes, people, and systems. In this session, industry practitioners share how they’re building and operating digital twin ecosystems for decision making, performance prediction, product innovation, and more. Learn how to define and prioritize initiatives, connect real-time and historical data, and integrate digital twins into existing workflows. Key themes include: Defining digital twins : Scoping initiatives and identifying high-value use cases; simulation models vs. fully synchronized digital twins IT/OT integration : Connecting PLCs, SCADA, IoT platforms, and edge devices with enterprise systems (ERP, MES, PLM); handling protocols, APIs, and data normalization  Data pipelines : Ingesting, synchronizing, and integrating real-time sensor data with historical and engineering data; managing latency, quality, and time-series consistency  Modeling, simulation & lifecycle : Building accurate representations for forecasting and optimization; versioning, updating, and validating models as physical systems change Infrastructure & performance : Designing for scale across cloud, edge, and on-prem; managing compute, storage, and network constraints to support continuous data flow and real-time insights Interoperability & digital thread : Integrating with existing applications and workflows; connecting data across the asset lifecycle (design, build, operate, maintain) Security & governance : Ensuring traceability, access control, regulatory compliance, and protection of OT environments Deployment & impact : Moving from pilots to production; measuring improvements in uptime, throughput, maintenance costs, decision speed, etc. Core use cases : Predictive maintenance, asset monitoring, layout and process optimization, quality control, workforce training, sales and marketing, etc.  Common challenges : Data silos, poor data quality, inconsistent standards, integration complexity, skills gaps, cybersecurity risks, etc. Enabling technologies : Reality capture and 3D pipelines, XR for visualization and interaction, and AI/ML for prediction and optimization

• Dijam Panigrahi
• James P. Cooper
• Ed Moore
• Darin Bolthouse
• Warren B. Smith
• Kyle Beam
• Frank Husted

Case Study - Using XR and digital twins to train teams, test decisions, and reduce risk before construction. (Gilbane)

Atrium Ballroom A

Construction is one of the few industries where we’re still learning in real time—on the job, with real risk, real cost, and real consequences. What if we could simulate those conditions ahead of time—train teams, test decisions, and play out scenarios before stepping on site? By applying game design thinking with XR and digital twins, we’re starting to shift from reacting in the field to making smarter decisions earlier—driving safer projects, stronger schedules, and better cost outcomes.

• Lucas Richmond

Case Study - The VR Market Has Shifted — So Has the Path to Scale (Johnson & Johnson MedTech)

Atrium Ballroom A

The enterprise VR program path is well-worn by champions who ideate, pilot, and scale alongside a helpful VR vendor. But what happens when your program outgrows that vendor? When a new market emerges, integrated architecture partners are often required to help stand up a program. As the market matures and stabilizes, specialist vendors emerge that perform each role within the architecture better than a generalist can. This talk explains why an integrated partner is useful for a nascent program yet becomes a chokepoint for a mature one, and how the market has reached a point where switching to a modular architecture is not only feasible but also more viable and desirable.

• Sean Peterson

Case Study - AI Subject Matter Experts (AI SMEs) for Physical Work (Convai)

Atrium Ballroom A

Traditional training is often delivered through formal sessions or shadowing, but the need for expert guidance continues long after the training ends. This session introduces the AI subject matter expert (AI SME) for physical work: an always-available companion that sees what the worker sees through real-time video and accesses your organization’s existing knowledge across manuals, PDFs, documents, images, CAD files, and videos to answer questions and guide tasks in the moment. Using real-world examples from aerospace and defense, semiconductor manufacturing, and quick-service restaurants, we’ll show how AI SMEs work in practice and the outcomes they can drive. You’ll leave with a clear picture of where an AI SME fits in your operations and how it can reduce downtime and boost productivity. Key takeaways: • Why an AI SME is a different category from a chat assistant or a once-a-year training program. • Where the ROI comes from: experts get instant answers from large volumes of technical files, especially leveraging multimodal and 3D CAD files. New hires ramp up far faster than by shadowing senior staff, and operations see less downtime. • What physical-world work demands from AI: real-time vision, CAD and 3D understanding, avatars, and simulation. • How on-prem deployment on top of your existing AI infra keeps sensitive data and IP in-house.

• Purnendu Mukherjee

Case Study - From Prompt to Cognitive Operating System: A layered architecture for the next generation of AI applications (Mercedes-Benz USA)

Atrium Ballroom A

• Kaushik Datta

Break: Expo Exploration / Networking Lunch

Atrium Ballroom A

Networking Prize Drawings

International Ballroom

Day 3 Concludes

International Ballroom