BEGIN:VCALENDAR VERSION:2.0 PRODID:-//https://www.cimdata.com///NONSGML kigkonsult.se iCalcreator 2.10.15// METHOD:PUBLISH BEGIN:VEVENT UID:20260616T004041EDT-04129i8VSH@https://www.cimdata.com/ DTSTAMP:20260616T044041Z DESCRIPTION:The State of AI in Product Development: What CIMdata’s AI in PL M Global Study Reveals About Adoption\, Investment\, and Readiness\nA Comp limentary CIMdata Educational Webinar with Diego Tamburini Ph.D.\, Directo r AI in PLM Practice\, CIMdata\n9 July 2026 11:00 EDT | 08:00 PST | 16:00 CET\nRegister \;About our Speaker\nHave you had any of these thoughts in relation to your AI implantation strategy?\n\n\nAm I Behind?' Anxiety: The non-stop flow of AI announcements makes our leadership team feel like they are lagging behind\, but a lack of hard\, independent data makes this fear impossible to calibrate.\nHype Outrunning Reality: Provider roadmaps \, massive productivity claims\, and 'agentic AI' messaging are moving sig nificantly faster than our engineering organization can actually deploy an d validate.\nOver-Promising and Under-Delivering: Our #1 concern is how di fficult it is to evaluate solution provider claims without an objective\, outside reference point.\nThe 'Build vs. Buy' Dilemma: It is hard for us t o decide whether to wait for embedded features from current PLM providers\ , build custom tools internally\, or stitch together capabilities from mul tiple third-party sources.\nWhere to Invest First: It is unclear which AI application areas deliver tangible value today and which are still purely aspirational\, making it hard to know where to allocate budget.\nHidden Re adiness Gaps: Data quality\, governance\, and change management are widely underestimated prerequisites for AI success. These are foundational issue s and won't fix themselves just by waiting.\nTrust and Validation Bottlene cks: Because our engineering decisions require absolute precision\, there is limited confidence in validating AI outputs. This makes moving from a p ilot project to full-scale production incredibly hard for us to justify.\n \n\nEvery software provider has an AI announcement. Every conference has a n AI keynote.\nBut what almost nobody has is data on what industrial compa nies are actually doing with AI in product development today\, vs. what th ey are told they should be doing.\nCIMdata set out to close that gap.\nMos t organizations are suffering from 'Am I behind?' anxiety. The relentless drumbeat of provider roadmaps and productivity claims makes it feel like e veryone else is further along. But hard reference points are scarce\, hype is outrunning reality\, and it's impossible to calibrate your actual prog ress.\nTo close this gap\, in early 2026\, CIMdata fielded the first globa l\, independent study of AI in product development. We surveyed all three sides of the ecosystem: the industrial companies deploying AI\, the softwa re providers building it\, and the service providers implementing it.\nThe gaps we found between what customers experience and what their providers believe is happening are larger than anyone expected.\nThis webinar will c over:\n\n\n\nThe AI Journey: Where your peers actually stand\, from initia l awareness and pilots to operationalizing and scaling.\nReal-World Applic ation &\; Blindspots: Exactly where your peers are applying AI across t he lifecycle\, and which product development areas remain completely untou ched.\nUnexpected Value: Examples of the benefits early adopters are reali zing today\, including unexpected wins in design innovation and compliance .\nThe True Bottlenecks: Why data readiness\, not technology\, is the domi nant constraint slowing down adoption.\nTrust &\; Validation: How confi dent your peers are that they can safely rely on AI outputs for engineerin g decisions.\nSourcing &\; Selecting: The factors driving AI provider s election and the providers’ industrial companies want leading their implem entations.\nActionable Next Steps: The webinar will offer you four practic al implications for how to pace\, select\, govern\, and lay the foundation s for AI in your product development.\n\n\n\nWho should attend?\n\nThis we binar is designed for anyone making or influencing AI decisions in product development\, including:\n\nEngineering &\; R&\;D Leaders: Evaluati ng AI for product development and seeking actual productivity gains.\nPLM Program Managers &\; Strategists: Architects tasked with integrating AI into the digital thread without creating new silos.\nIT &\; Digital Tr ansformation Executives: Leaders assessing 'Build vs. Buy' trade-offs and enterprise infrastructure requirements.\nDigital Operations Leaders: Those assessing AI's role in streamlining product lifecycle and cross-functiona l processes.\nSolution Providers &\; Consultants: Anyone needing a cons istent framework to help clients evaluate competing AI implementation patt erns.\n\n\nDuring the webinar\, you’ll also have the opportunity to ask qu estions about the topics discussed. DTSTART:20260709T150000Z DTEND:20260709T160000Z LOCATION:On-line () SUMMARY:The State of AI in Product Development: What CIMdata’s AI in PLM Gl obal Study Reveals About Adoption\, Investment\, and Readiness END:VEVENT END:VCALENDAR