Lockheed Martin and IBM Collaborate on AI-Driven Innovation
Partnership Integrates IBM’s Granite Large Language Models with Lockheed Martin’s AI Factory
Lockheed Martin, a pioneer in harnessing artificial intelligence (AI) to boost defense and aerospace capabilities, is once again pushing the boundaries of AI-driven innovation. The company has collaborated with IBM to integrate IBM’s high-performing, enterprise-ready Granite large language models (LLMs) with Lockheed Martin’s AI Factory tools.
The AI Factory environment accelerates ideas to deployment, from months to mere weeks, by seamlessly integrating commercial best practices, establishing end-to-end development pipelines, and implementing rigorous data governance to drive greater efficiency and resource optimization. IBM’s Granite LLMs will further empower Lockheed Martin’s workforce with cutting-edge code, language, advanced reasoning, and guardrail capabilities to customize assistants and agents, enhance national security missions, and accelerate business transformation.
A New Era of Innovation
By leveraging this integration, Lockheed Martin and IBM aim to set new standards for innovation, helping to streamline mission-critical insights and enhance decision-making capabilities across defense and aerospace domains. This collaboration has the potential to revolutionize the way Lockheed Martin develops and deploys AI solutions, enabling the company to respond more quickly and effectively to emerging threats and challenges.
Expert Perspectives
“To have the best AI capability available to our customers, we continue to invest and innovate in AI across our portfolio,” said Dr. Steven H. Walker, Lockheed Martin vice president and chief technology officer. “A critical pillar of the strategy is integrating the best capabilities available in the commercial world with our already demonstrated and deployed industry-leading AI products and technology.”
“IBM is excited to work with Lockheed Martin to bring the power of our Granite large language models to their AI factory,” said Vanessa Hunt, technology general manager, U.S. federal market, IBM. “Collaborations like ours, built on a foundation of responsibility and open innovation, are critical to shaping a future where AI significantly contributes to defense without compromising security, capability, readiness, or societal values.”
AI Ethics and Governance
Lockheed Martin aligns its AI initiatives with the U.S. Defense Department’s five AI Ethics principles – Responsible, Equitable, Traceable, Reliable, and Governable – ensuring that all projects adhere to these core tenets. To foster a deep understanding of AI ethics across the corporation, Lockheed Martin has developed and implemented an internal AI ethics training program to equip employees with an understanding of the capabilities and limitations of AI so they can apply the technology in a responsible way.
Conclusion
The collaboration between Lockheed Martin and IBM marks a significant milestone in the development of AI-driven innovation. By integrating IBM’s Granite LLMs with Lockheed Martin’s AI Factory tools, the two companies aim to set new standards for innovation, streamline mission-critical insights, and enhance decision-making capabilities across defense and aerospace domains.
FAQs
- What is the purpose of the collaboration between Lockheed Martin and IBM? The collaboration aims to integrate IBM’s high-performing, enterprise-ready Granite large language models (LLMs) with Lockheed Martin’s AI Factory tools to accelerate innovation and enhance decision-making capabilities across defense and aerospace domains.
- What are the benefits of the integration? The integration will enable Lockheed Martin to leverage IBM’s cutting-edge code, language, advanced reasoning, and guardrail capabilities to customize assistants and agents, enhance national security missions, and accelerate business transformation.
- How does Lockheed Martin ensure responsible AI development? Lockheed Martin aligns its AI initiatives with the U.S. Defense Department’s five AI Ethics principles – Responsible, Equitable, Traceable, Reliable, and Governable – and has developed an internal AI ethics training program to equip employees with an understanding of the capabilities and limitations of AI.
- What is the AI Factory environment? The AI Factory environment is a platform that accelerates ideas to deployment, from months to mere weeks, by seamlessly integrating commercial best practices, establishing end-to-end development pipelines, and implementing rigorous data governance to drive greater efficiency and resource optimization.
