How Lockheed Martin Uses IBM watsonx to Unify 46 Data Systems into One AI Platform
Lockheed Martin consolidated 46 disparate data management systems into a single integrated platform with IBM, reducing data and AI tools by 50% and enabling 10,000 engineers to build and deploy AI solutions using IBM Granite models.
Impact
50%
Reduction in data and AI tools
46 into 1
Systems consolidated
216
Data catalog definitions automated
11%
AI accuracy improvement (prompt engineering)
20%
AI accuracy improvement (query optimization)
10,000
Engineers enabled
Challenge
Lockheed Martin operated 46 disparate data management, analytics, and business intelligence systems across multiple data lakes, creating data silos that hindered enterprise-wide accessibility and prevented AI adoption at scale.
Solution
IBM consolidated 46 systems into a single integrated platform and established a secure AI Factory using IBM Granite models, watsonx.data, watsonx.governance, and watsonx Orchestrate, enabling 10,000 engineers to build and deploy AI solutions.
What Leaders Say
“Data is the foundational element by which we pull everything together across the enterprise.”
“We're getting closer each day to a data-driven culture where folks can take the data they have and immediately make use of it.”
“AI is transforming our customer's mission. They need AI tools that help them make better, faster decisions.”
“When problems are beyond human scale, AI can help illuminate solution opportunities.”
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Full Story
Lockheed Martin, a global aerospace and defense technology leader, struggled with data silos spread across multiple data lakes and 46 disparate systems for data management, analytics, and business intelligence. This fragmentation hindered enterprise-wide data accessibility and prevented the company from leveraging AI at scale.
IBM helped Lockheed Martin replace all 46 disconnected systems with a single integrated platform, establishing a unified, scalable data foundation. This consolidation enabled the creation of a secure AI Factory where 10,000 engineers can build and deploy large-scale AI solutions using IBM Granite open AI models.
The platform leverages IBM watsonx.data for unified data management, IBM watsonx.governance for AI model oversight, and IBM watsonx Orchestrate for workflow automation. Generative AI models built with watsonx allow natural language queries across enterprise data, while conversational chatbots handle HR and employee inquiries.
The results demonstrate significant efficiency gains: a 50% reduction in data and AI tools, 216 automated data catalog definitions, and measurable improvements in AI accuracy — from a 45.45% baseline to 56.8% through prompt engineering (11% increase) and 66.0% through query optimization (20% boost). Lockheed Martin is now moving toward a data-driven culture where employees can immediately make use of enterprise data for decision-making.
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