Skip to content
0727
InsightsAcademyCasesEventsSign in
中文/EN
Cases/Lockheed Martin
← Back to cases
← Previous12 / 127Next →

Lockheed Martin

Harmonized data base and security AI Factory
IBM Aerospace/defence Embedded deployment Deep case | Key delivery chain is substantially documented Evidence level A Platform scaling/extension of applications
A Evidence level
A new era of AI takes off for Lockheed Martin
Publisher: IBM · Case of the official customer of the manufacturer · Direct sources at the case level
Claim origin: IBM Disclosures with Clients · Independent verification: No · Accessed: 2026-09-19
Evidence level measures whether a source can be located and reviewed; it does not mean vendor-reported claims were independently audited.
Deep case | Key delivery chain is substantially documented 12 / 12
Business context2 / 2
Transformation workflow2 / 2
Technical workflow2 / 2
Human roles & governance2 / 2
Measured outcomes2 / 2
Source traceability2 / 2
All six dimensions meet the current completeness threshold.
Lockheed Martin first solves the underlying problems caused by 46 data systems and then carries natural language queries and Agent in safe AI Factory, a complete path from data governance to the development of a scale-based AI.
Business problem

Lockheed Martin ' s data is scattered over multiple data lakes and 46 data management, analysis and business intelligence systems, and engineers have difficulty in quickly finding high-quality data and in building and managing AI applications on a scale that is securely constrained.

Solution

The company and the IBM first integrate 46 decentralized systems into a single-connected data environment and then build a secure AI Factory, allowing engineers to develop large-scale AI applications based on regulated data and open models; and staff-oriented natural language questions, research and HR assistants operate on a unified data and governance framework and improve the answers continuously through alerts and queries.

Technical architecture & production workflow
Step 01
46 data and analysis systems and multiple data lakes
→
Step 02
Data integration, quality and catalogue definitions
→
Step 03
Harmonizing the regulated data platform
→
Step 04
Safe AI Factory and Open Model
→
Step 05
Natural language questions, research and HR assistants
→
Step 06
Assessment, alert optimization and query optimisation feedback
Key technology & infrastructure components
Harmonization of data platformsData DirectoryIBM Granitewatsonx.governancewatsonx OrchestrateAgent Frame
Human roles & accountability

AI provides data queries, research and staff services responses; data owners maintain definitions and quality, engineers select models and validate results, and security and governance teams control access and access to sensitive environments.

FDE delivery actions
  • Integration of data systems and extension of AI applications
  • Define accessable data boundaries with engineering and security teams
  • Automated data catalogue definitions reduce the threshold for use
  • Measurement of question-and-answer accuracy using sample questions
  • Experimental hints and query optimization gains, respectively
Reusable delivery patterns
  • Data fragmentation directly limits the size of the company ' s AI.
  • Safe AI Factory needs to put the speed of development and governance on the same platform.
  • The question-and-answer system should have a fixed sample set and a phased optimization of data
  • Platform results and individual Agent outcomes need to be measured separately
Business outcomes & delivery results

According to the IBM client case, the number of data and AI tools was reduced by 50 per cent, 46 systems were replaced by an integrated platform with 216 data catalogue definitions automated; the question-and-answer pilot accuracy rate was raised from 45.45 per cent to 56.8 per cent after tip optimization, reaching 66.0 per cent after query optimization.

Evidence boundaries & verification notes
  • The page clearly disclosed 46 systems, 216 catalogue definitions and changes in accuracy rates.
  • The accuracy rate was an early sample pilot and did not represent all production queries.
Primary source: A new era of AI takes off for Lockheed Martin ↗
Traceable does not mean independently audited
Open primary public source
0727.ai · Trusted agents, built together.Case research: FDE-case-library ↗ · MIT