Lockheed Martin AI Factory: Generative AI and MLOps for Engineering, Enterprise and Edge

This article reports on the rapid creation and deployment at scale of hundreds of Large Language Model (LLM) applications, highlighting several across enterprise, engineering and edge use cases. This outcome was accelerated by the creation of an open architecture, secure and scalable generative AI Factory. An extensible platform, AI Factory empowers thousands of developers and over 50,000 end users across a diverse set of data types and use cases throughout our global enterprise. This evolvable approach reveals how to affordably deploy generative AI to create value securely at scale.

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Publication Details

Published
2025-06-24
DOI
https://doi.org/10.1109/icad65464.2025.11114065
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Lockheed Martin AI Factory: Generative AI and MLOps for Engineering, Enterprise and Edge

Declan J. O’Donnell, Mark T. Maybury, Gail Forrest
Big Data and Business Intelligence
article

Lockheed Martin AI Factory: Generative AI and MLOps for Engineering, Enterprise and Edge

Declan J. O’Donnell, Mark T. Maybury, Gail Forrest
article en

Abstract

This article reports on the rapid creation and deployment at scale of hundreds of Large Language Model (LLM) applications, highlighting several across enterprise, engineering and edge use cases. This outcome was accelerated by the creation of an open architecture, secure and scalable generative AI Factory. An extensible platform, AI Factory empowers thousands of developers and over 50,000 end users across a diverse set of data types and use cases throughout our global enterprise. This evolvable approach reveals how to affordably deploy generative AI to create value securely at scale.

Lockheed Martin (United States) (US), Lockheed Martin (Canada) (CA), Astro-Med (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 64%
Big Data and Business Intelligence
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