(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
