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UID:20260515T201043EDT-4248XCn4Us@https://www.cimdata.com/
DTSTAMP:20260516T001043Z
DESCRIPTION:Webinar: The Human Aspects of GenAI on the Product Lifecycle\n2
 3 January 2025 11:00 AM EST\nRegister &amp\; Learn More\nWhile artificial 
 intelligence (AI) has been around for decades\, generative AI (GenAI) burs
 t onto the scene more recently with ChatGPT\, one of the most rapidly adop
 ted technologies. A recent National Bureau of Economic Research study foun
 d 39.4% of adults in the US have used it. Nearly 10% are using it every wo
 rkday. All new technologies promise benefits\, but they can also have unin
 tended consequences.\nThis CIMdata-moderated webinar will discuss how GenA
 I will impact roles in the product lifecycle\, and the work engineers perf
 orm daily across the lifecycle.\nAccenture’s Matthew Thomas\, Global Lead 
 of Digital Engineering Solutions\, and Jonathan Tipper\, Global Generative
  AI Lead for Industry X\, will join CIMdata’s Vice President\, Stan Przyby
 linski\, to share what they are already seeing with their clients. They wi
 ll also consider the following questions:\n\nHow are processes and jobs ch
 anging?\nWhere is the technology most useful?\n\nWhat will I learn?\n\nYou
  will develop a better understanding of GenAI concepts and technologies.\n
 You will learn about emerging GenAI applications across the product lifecy
 cle.\nYou will understand more about GenAI’s impact on the work of enginee
 rs.\nYou will discover how your organization can best deploy these new pro
 cesses and technologies.\n\nWho should attend?\nThis webinar will be of in
 terest to: Product planners and managers\, product portfolio managers\, PL
 M team leaders\, PLM team members\, PLM users\, product managers\, IT lead
 ership\, solution providers\, Engineers and Engineering leadership\, or an
 yone else who wants to learn about how PLM has progressed over the years.
 \nRegister &amp\; Learn More
DTSTART:20250123T160000Z
DTEND:20250123T170000Z
LOCATION:On-line ()
SUMMARY:Webinar:  The Human Aspects of GenAI on the Product Lifecycle
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