Lockheed Martin has collaborated with analytics company SAS for the delivery of latest and advanced analytics across the company’s F-35, C-130J, and LM-100J aircraft programmes.
The partnership between the two companies will help support new developments, as well as enable the customers to resolve their problems and successfully carry out critical missions.
Under the terms of the deal, SAS will enable Lockheed Martin to use powerful analytics to develop new efficiencies and ensure smooth cross-platform collaboration.
Lockheed Martin Aeronautics Sustainment Operations vice-president Bruce Litchfield said: “With the first phase of SAS technology completed, these new capabilities enable our data scientists and engineers to quickly develop self-service applications that provide a range of analytics-driven products and services with an initial focus on predictive maintenance, fleet performance management, intelligent diagnostics, and supply chain optimisation.
“The result will be more effective and efficient flight line operations.”
Lockheed Martin uses SAS Viya analytics engine to deploy a wide range of SAS products throughout its global technology platform.
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SAS Internet of Things (IoT) vice-president Jason Mann said: “As the industry adapts to the forces of disruptive technological change and new forms of competition, SAS stands ready to help Lockheed Martin capitalise on opportunities to deliver richer products and services from artificial intelligence, machine learning and IoT analytics deployed throughout the value chain.”
Built by Lockheed, the F-35 Lightning II is a fifth-generation multi-role fighter jet, which can carry out several air-to-air, air-to-ground, as well as intelligence, surveillance and reconnaissance (ISR) missions.
The C-130J Super Hercules is an advanced tactical airlifter mostly deployed to perform humanitarian missions after natural disasters.
The company’s LM-100J aircraft has been designed as a civil multi-purpose air freighter that can be used to carry out cargo transportation quickly and efficiently.