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DTSTART;TZID=UTC:20260415T130000
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SUMMARY:The Spark: Where Industrial AI Gets Real
DESCRIPTION:📍 Venue: Depaul University — The Spark Center — 1E Jackson Blvd\, Chicago\, IL 60604 – 8th Floor Rm 8010 \n📅 Date & Time: April 15th | 1:00 – 5:00 PM CDT \nThe Spark: AI in Industry brings together the operators\, architects\, and researchers who are actually doing the work\, not talking about it. Across three hard-hitting panels\, we move from what’s delivering measurable value on the plant floor today\,\nto designing agentic systems that survive contact with real industrial constraints\, to what the next operating model looks like when AI becomes part of the job. No keynote theater\, no vendor pitches. Just the honest conversations that turn pilot projects into production reality. \n  \n \n  \n\n \n\n \n\nMartin Gonzalez\nSenior Manager\, Refining Technology\nBP\n\n\n \n\nNezih Altay\nDirector of the Master of Science in Supply Chain Management Program\nDepaul University\n\n\n \n\nJungwoo Ryoo\nChancellor\nPenn State\n\n\n\n \n\n\n\n \n\n \n\nKonrad Konarski\nChairperson\nAI Applied Consortium / Prolifics Inc.\n\n\n \n\nElias Brown\nNorth American Data Manager\nVallourec\n\n\n \n\nJobi Abraham\n\nData Governance Manager\nIllinois Department of Public Health\n\n\n\n\n \n\n\n\n \n\n\n\n\n \n\nMichael Burgess\nVP Operations\nCrenlo Engineered Cabs\n\n\n\n\n\n\n\n \n\n\nDr. James Kulich\nDirector of MS in Data Science\nElmhurst University\n\n\n\n\n\n\n \n\nJohn Thompson\nAuthor and Innovation Fellow\nUniversity of Michigan\n\n\n\n \n\n\n\n \n\n \n\nMarco Chou\nAdjunct Professor\nOakton College\n\n\n\n\n\n\n\n \n\n\n\nTime\nSession\nSpeakers\nDetails\n\n\n \n\n1:00 – 1:15 PM\nOPENING REMARKS\nDr. Nezih Altay — Director of MS in Supply Chain Management\, DePaul University \nKonrad Konarski — Chairman at AI Applied Consortium\nOpening remarks. Speaking about the collaboration between DePaul University and the Ai Applied Consortium. Introduction to the AI Applied Consortium and the importance of this symposium.\n\n \n\n1:15 – 2:00 PM\nFireside Chat: AI in industry – what is working right now ?\nDr. Martin Gonzalez — Senior Manager\, Refining Technology at BP \nMarco Chou — Adjunct Professor\, DePaul University\nHear directly from industry leaders on where AI is delivering measurable value today and where progress still stalls. This panel focuses on real adoption experience in energy and manufacturing\, including the operational realities that determine whether AI scales or stops at the pilot stage. \nTopics \n\nHigh value AI use cases in operations and production\nWhy some pilots scale and others do not\nData readiness and system integration realities\nChange management and frontline adoption\nTrust\, safety\, and decision support in industrial settings\nWhat leaders are prioritizing next\n\nOutcomes \n\nPractical examples of measurable AI value creation\nBetter understanding of common scale barriers\nClearer picture of near term priorities in industry adoption\n\n\n\n \n\n2:00 – 2:15 PM\nCOFFEE BREAK\n\n\n\n \n\n2:15 – 3:00 PM\nPANEL 2: Agentic Ai in industry – move beyond the hype\nKonrad Konarski — Chairman at AI Applied Consortium\nJobi Abrahams — Data Governance Manager at Illinois Dept of Public Health\nDr. James Kulich — Director of MS in Data Science at Elmhurst University\nMove beyond the hype and into practical design. This session explores how agentic AI can support troubleshooting\, decision making\, and workflow coordination in complex industrial settings\, with a focus on what it takes to make these systems useful\, trusted\, and scalable. \nTopics \n\nWhat agentic AI means in industrial operations\nPractical use cases in energy and manufacturing workflows\nContext\, retrieval\, and semantic grounding\nReasoning\, orchestration\, and task coordination\nHuman oversight\, exception handling\, and trust\nDesigning for legacy systems and real operational constraints\nWhat breaks at scale and how to plan for it\n\nOutcomes \n\nPractical framework for evaluating agentic AI opportunities\nBetter understanding of design choices that affect success\nClearer path from concept to scalable industrial implementation\n\n\n\n \n\n3:00 – 3:15 PM\nCOFFEE BREAK\n\n\n\n \n\n3:15 – 4:00 PM\nPANEL 3: The next operating model: Humans\, AI\, and industrial intelligence\nElias Brown — Data Manager at Vallourec\nDr. Nezih Altay — Director of MS in Supply Chain Management\, DePaul University\nJohn Thompson — Author and Innovation Fellow at U of Michigan\nWhat happens when AI becomes part of everyday industrial work? This forward looking session explores how energy and manufacturing organizations may evolve over the next 3 to 5 years across frontline support\, knowledge transfer\, training\, operational decision making\, and workforce roles. \nTopics \n\nAI enabled frontline and plant support\nKnowledge capture and transfer before expertise retires\nTraining and upskilling in AI enabled environments\nHuman plus AI decision support models\nOperating model shifts across plants and enterprises\nWhat is emerging now versus what is still overhyped\n\nOutcomes \n\nGrounded view of where industrial AI is heading next\nBetter distinction between near term reality and longer term hype\nClearer priorities for technology\, talent\, and operating model change\n\n\n\n \n\n4:00 – 4:45 PM\nSTUDENT VOICE SESSION\nModerator: Konrad Konarski\, AI Applied Consortium\nIn this session students will have an opportunity to voice their concerns and expectations regarding AI. The AI Applied Consortium will then summarize their feedback into a report which will be included in the Consortium’s AI policy posture document that will be submitted to the US Congress.\n\n \n\n4:45 – 5:00 PM\nCLOSING TAKEAWAYS AND NEXT STEPS
URL:https://aaiconsortium.org/event/the-spark-where-industrial-ai-gets-real/
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