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This webinar will explore how manufacturers are evolving their digital strategy, moving from basic data search to active AI agents that solve complex engineering challenges.
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 that Dr. Diego Tamburini, Director of CIMdata's AI in PLM practice, will join Jeff Evernham, Chief Product Officer at Sinequa by ChapsVision, for an upcoming webinar: "Agentic AI: Moving Beyond Experiments to Enterprise Impact." The event is scheduled for March 18 at 12:00 PM ET.
The Digital Thread has long promised a seamless flow of data, yet for most manufacturers, that data remains siloed and out of reach. With AI, the stakes have changed. To gain a competitive edge, the Digital Thread is no longer just a storage challenge; it is the essential fuel for Agentic AI.
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This webinar will cut through the hype to share a real-world example of how a global powertrain technology leader transformed its business with AI. Attendees will discover how they connected their global engineering know-how to create a digital thread that grounds AI agents in enterprise knowledge, setting them up for a future where engineers and AI agents actively use internal knowledge across the product lifecycle to achieve business goals, within a secure, well-governed framework.
Those attending the webinar will learn:
Who Should Attend:
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This webinar targets a broad audience, including VPs and Directors of Engineering, VPs and Directors of Manufacturing and Supply Chain, Engineering and product support professionals, IT leaders responsible for AI and digital transformation initiatives, and PLM and knowledge management stakeholders in discrete manufacturing.
To learn more and register for this webinar, please visit: https://www.sinequa.com/resources/events/from-digital-thread-to-agentic-ai-how-cummins-drove-millions-in-productivity/?utm_source=CIMData&utm_medium=Webinar&utm_campaign=FY26_Q1_NA_Sinequa_Webinar_CIMData
The Digital Thread has long promised a seamless flow of data, yet for most manufacturers, that data remains siloed and out of reach. With AI, the stakes have changed. To gain a competitive edge, the Digital Thread is no longer just a storage challenge; it is the essential fuel for Agentic AI.
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This webinar will cut through the hype to share a real-world example of how a global powertrain technology leader transformed its business with AI. Attendees will discover how they connected their global engineering know-how to create a digital thread that grounds AI agents in enterprise knowledge, setting them up for a future where engineers and AI agents actively use internal knowledge across the product lifecycle to achieve business goals, within a secure, well-governed framework.
Those attending the webinar will learn:
- About the current state of AI adoption in manufacturing and the gap between hype and practical deployment.
- Why the digital thread remains incomplete when confined to a single solution provider's ecosystem, and why cross-system knowledge retrieval is foundational.
- Understand the critical difference between AI assistants, RAG-powered search, and agentic AI.
- The key considerations for evaluating enterprise AI solutions, including governance, security, and trustworthiness.
- Why enterprise knowledge is the foundation of Agentic AI.
- How to scale AI securely across a global organization.
Who Should Attend:
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This webinar targets a broad audience, including VPs and Directors of Engineering, VPs and Directors of Manufacturing and Supply Chain, Engineering and product support professionals, IT leaders responsible for AI and digital transformation initiatives, and PLM and knowledge management stakeholders in discrete manufacturing.
To learn more and register for this webinar, please visit: https://www.sinequa.com/resources/events/from-digital-thread-to-agentic-ai-how-cummins-drove-millions-in-productivity/?utm_source=CIMData&utm_medium=Webinar&utm_campaign=FY26_Q1_NA_Sinequa_Webinar_CIMData
Source: CIMdata
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