BEGIN:VCALENDAR VERSION:2.0 PRODID:-//https://www.cimdata.com///NONSGML kigkonsult.se iCalcreator 2.10.15// METHOD:PUBLISH BEGIN:VEVENT UID:20260811T180736EDT-0607Vs0Par@https://www.cimdata.com/ DTSTAMP:20260811T220736Z DESCRIPTION:From AI Experimentation to Enterprise Value: AI Governance Stra tegies for Trusted AI at Scale\nA Complimentary CIMdata Educational Webina r with Janie Gurley\, Director\, Data &\; AI Governance Practice\, CIMd ata\, and Diego Tamburini\, Ph.D. \;Director AI in PLM Practice\, CIMd ata\n13 August 2026 11:00 EDT | 08:00 PST | 16:00 CET\nRegister \;Abou t Janie Gurley About Dr. Diego Tamburini\nHave you had any of these though ts about AI governance?\n\n\nAI pilots show promise\, but they often fail when we try to scale them across the enterprise.\nWe are under massive pre ssure to justify our AI spend\, but actually quantifying the ROI and busin ess value of AI feels impossible.\nGovernance and compliance processes are slowing down our teams instead of safely helping them move faster.\nGener ative and Agentic AI are outpacing our policies\, creating massive blind s pots in security\, compliance\, IP\, and data privacy.\nNobody knows who t akes the blame when an autonomous AI agent or assistant makes a costly ope rational mistake.\nBad data and 'hallucinated' outputs are eroding user tr ust\, leading employees to either trust flawed AI results or ignore the to ols entirely.\nEmployees increasingly rely on AI-generated outputs without adequate validation.\nOrganizations are uncertain about how to govern eme rging Agentic AI capabilities.\n\n\nMany organizations have successfully p iloted AI initiatives\, but moving beyond isolated use cases to scalable\, enterprise-wide adoption remains a major hurdle. As Generative AI\, Agent ic AI\, and intelligent automation become more deeply embedded in business processes\, the pressure is on to balance rapid innovation with strict se curity\, accountability\, and measurable business value.\nWithout effectiv e governance\, AI initiatives often stall because of concerns about data q uality\, transparency\, regulatory compliance\, decision accountability\, and operational risk. At the same time\, organizations must establish fram eworks that enable innovation rather than restrict it.\nIn this webinar\, we will explore practical approaches to AI governance that help organizati ons accelerate adoption while maintaining trust\, oversight\, and business alignment.\nAttendees will learn how leading organizations are building g overnance capabilities to support responsible AI deployment\, enhance deci sion confidence\, and maximize return on AI investments.\nAttendees Will L earn:\n\n\nHow to build an AI governance blueprint that safely accelerates adoption across your company rather than creating a bottleneck.\nSpecific strategies to oversee both Generative AI and autonomous Agentic AI workfl ows without stifling innovation.\nHow to establish clear ownership and acc ountability for decisions made by AI assistants and automated agents.\nPra ctical frameworks to measure AI effectiveness\, employee adoption rates\, and actual bottom-line ROI.\nHow to turn data quality and transparency int o a competitive advantage that builds internal and external trust.\nMethod s for aligning your AI governance activities directly with your organizati on’s high-level strategic goals.\n\n\nWho Should Attend?\n\nThis webinar i s designed for leaders and teams tasked with safely scaling AI across the enterprise. It will be especially valuable for:\n\nExecutive Leadership (C IOs\, CTOs\, CDOs\, &\; Strategy Teams): If you are under pressure to j ustify AI investments\, prove ROI\, and define the company’s long-term AI roadmap.\nAI\, Data\, &\; Governance Professionals: If you need to esta blish data quality\, manage transparency\, and build compliance frameworks that don't choke innovation.\nRisk\, Compliance\, &\; Cybersecurity Te ams: If you are trying to figure out how to handle the immediate security\ , IP\, and liability risks introduced by Generative and Agentic AI.\nProdu ct\, Engineering\, &\; Enterprise Architects: If you are responsible fo r the actual deployment\, integration\, and architecture of scalable AI sy stems and automated workflows.\nBusiness Transformation &\; Operations Leaders: If you are trying to move AI out of the 'experimental pilot' phas e and embed it into daily business operations to drive measurable efficien cy.\n\n\nDuring the webinar\, you’ll also have the opportunity to ask ques tions about the topics discussed. DTSTART:20260813T150000Z DTEND:20260813T160000Z LOCATION:On-line () SUMMARY:Webinar: From AI Experimentation to Enterprise Value: AI Governance Strategies for Trusted AI at Scale END:VEVENT END:VCALENDAR