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The webinar and ensuing discussion will focus on how Generative AI will impact roles in the product lifecycle and the work engineers perform daily.
ANN ARBOR, Mich. - Michimich -- CIMdata, Inc., the leading global research, consulting, and education firm specializing in Product Lifecycle Management (PLM) and the Digital Transformation it enables, announces its participation in an upcoming webinar, "The Human Impacts of GenAI on the Product Lifecycle." The webinar, sponsored by Accenture, is set to take place on Thursday, 23 January, at 11:00 AM EST.
This CIMdata-moderated webinar will educate attendees on how Generative AI (GenAI) will impact their roles in the product lifecycle and the work engineers perform daily across the lifecycle.
Accenture'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 Przybylinski, to share what they are already seeing with their clients. They will also consider the following questions:
The webinar will offer valuable insights into:
According to CIMdata's Vice President Stan Przybylinski, "Generative AI burst onto the scene and has seen rapid adoption. GenAI is enhancing use cases in some commercial product lifecycle applications, with more to come. The product lifecycle generates lots of data across the digital thread, providing GenAI a huge resource to glean insights and enhance human capabilities. Roles and processes must change to best leverage this powerful new capability."
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This exclusive webinar targets a broad audience, including product planners and managers, product portfolio managers, PLM team leaders, PLM team members, PLM users, product managers, IT leadership, solution providers, engineers, engineering leadership, or anyone else who wants to learn about how PLM has progressed.
To learn more and register for this webinar, please visit: https://www.cimdata.com/en/events/cimdata-suppo.... (https://www.cimdata.com/en/events/cimdata-supported-events/event/829-webinar-the-human-aspects-of-genai-on-the-product-lifecycle)
This CIMdata-moderated webinar will educate attendees on how Generative AI (GenAI) will impact their roles in the product lifecycle and the work engineers perform daily across the lifecycle.
Accenture'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 Przybylinski, to share what they are already seeing with their clients. They will also consider the following questions:
- How are processes and jobs changing?
- Where is the technology most useful?
The webinar will offer valuable insights into:
- Developing a better understanding of GenAI concepts and technologies.
- The emergence of GenAI applications across the product lifecycle.
- Understanding more about GenAI's impact on the work of engineers.
- How your organization can best deploy these new processes and technologies.
According to CIMdata's Vice President Stan Przybylinski, "Generative AI burst onto the scene and has seen rapid adoption. GenAI is enhancing use cases in some commercial product lifecycle applications, with more to come. The product lifecycle generates lots of data across the digital thread, providing GenAI a huge resource to glean insights and enhance human capabilities. Roles and processes must change to best leverage this powerful new capability."
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This exclusive webinar targets a broad audience, including product planners and managers, product portfolio managers, PLM team leaders, PLM team members, PLM users, product managers, IT leadership, solution providers, engineers, engineering leadership, or anyone else who wants to learn about how PLM has progressed.
To learn more and register for this webinar, please visit: https://www.cimdata.com/en/events/cimdata-suppo.... (https://www.cimdata.com/en/events/cimdata-supported-events/event/829-webinar-the-human-aspects-of-genai-on-the-product-lifecycle)
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CIMdata
***@cimdata.com
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CIMdata
***@cimdata.com
Source: CIMdata
Filed Under: Manufacturing
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