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+1 571-403-9146,Phone Conference ID: 321 398 238#
Description:
This web event will discuss how the DoD workforce could apply the use Artificial Intelligence for Reliability and Maintainability Engineering. Some topics include:
- The benefits of implementation of an AI/ML strategy for Reliability and Maintainability (R&M) within DoD.
- The framework for enabling AI/ML in the R&M domain
- Key activities for implementing, assessing, and iterating AI as part of the R&M domain
- The importance of data storage for enhancement to R&M using AI
- The usage of the Systems Engineering model to address R&M engineering considerations during the DoD acquisition process.
- Use of AI in R&M Engineering Activities
- How to assess that an AI enabled system is reliable
- Challenges for applying AI in R&M Engineering
Who Should Attend:
DoD Acquisition and Engineering professionals
Speakers:
Mr. R. Chris DeLuca (U.S. Army Colonel, Ret.), Director of Specialty Engineering at the Office of Undersecretary of Defense (Research and Engineering), Systems Engineering and Architecture.
Mr. DeLuca has more than 35 years of experience in the Department of Defense as a U.S. Army Colonel (R) and DoD GS-15/NH-IV Civilian, Level III qualified in Program Management, Systems Engineering, and Test and Evaluation. As a U.S. Army commissioned officer, he was in combat arms and acquisition, holding multiple command, leadership, and staff positions including unit command, Army Program Acquisition Management Charters for Major (MDAP), and Non-Major (including rapid equipping and provisioning) Defense Acquisition Programs, and served on the Army Staff.
Moderator: James Howell, DAU CNE
References for Deeper Learning:
- DAU Courses / Links
- Community of Practice Link(s)
- Professional Organizations
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Call in (audio only)
+1 571-403-9146,Phone Conference ID: 321 398 238#
Description:
This web event will discuss how the DoD workforce could apply the use Artificial Intelligence for Reliability and Maintainability Engineering. Some topics include:
The benefits of implementation of an AI/…
call in (audio only)
+1 571-403-9146, Phone Conference ID: 658 747 115#
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