Pablo Ortega
2026 Speaker

Pablo Ortega

Strategic Learning Advisor

H-E-B

About

Bilingual learning professional with 10+ years of experience in learning design and technology such as video, animation, VR/AR, 360 video, and eLearning. An early adopter of emerging technologies with a passion for inclusion and diversity. As an expert multimedia specialist and advisor, delivering the best possible solutions to learners is the driving motivator.

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

Oct 134:20 PM5:05 PM
Main StagePanel

(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