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PRODID:-//BrainXchange//Augmented Enterprise Summit//EN
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UID:aes-12435-2026-augmented-enterprise-summit
DTSTAMP:20260930T162415Z
DTSTART;TZID=America/New_York:20261014T162000
DTEND;TZID=America/New_York:20261014T170500
SUMMARY:(Panel) Beyond Immersive: How AI is Reshaping Enterprise Today and Tomorrow
DESCRIPTION: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.\n\nRather 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:\n\nUse case selection : High-impact opportunities aligned with data\, talent\, and business goals\nTypes of AI : Choosing the right approach (predictive models\, computer vision\, NLP\, generative\, agentic\, physical AI) \nData readiness : Preparing\, labeling\, and governing data to ensure quality\, accessibility\, and security\nModel development & integration : Build\, buy\, or hybrid\; training models and embedding into workflows\nLifecycle management : Versioning\, monitoring\, and continuous improvement\nRisk & safety : Implementing human-in-the-loop and managing bias\, drift\, errors\, hallucinations\, and harmful outputs through validation\, monitoring\, and guardrails\nInfrastructure & cost : Scaling inference across cloud\, on-prem\, edge\; optimizing performance\, energy use\, and cost\nGovernance & responsible AI : Establishing policies for traceability\, accountability\, and regulatory compliance\; aligning with organizational values\nWorkforce readiness : Upskilling employees\, building trust\, and embedding AI into daily operations\nMeasuring impact : Linking model performance to business outcomes like productivity\, cost savings\, and quality\nScaling adoption : Standardizing tools and processes for reliable\, repeatable deployment\nUse cases : Automation\, workflow optimization\, customer support\, predictive maintenance\, quality inspection\, personalization\, software development\, cybersecurity\, and more\nWhat’s next : Convergence of AI with XR\, robotics\, and digital twins\; early agentic systems and autonomous workflows
LOCATION:Atrium Ballroom A\, Atlanta\, GA
URL:https://augmentedenterprisesummit.com/agenda/panel-day2-1620-main/
STATUS:CONFIRMED
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