UTX's Pratt & Whitney to Leverage IBM's Big Data Technology
Pratt & Whitney, a unit of diversified conglomerate United Technologies Corp. (UTX), has collaborated with IBM Corp. (IBM) to incorporate data analytics in its engine fleet management and health solutions.
With this deal, Pratt & Whitney is set to leverage IBM’s state-of-the-art predictive analytics systems to improve aircraft reliability and extend engine life.
How Analytics Work
Essentially, the system will analyze data from engines in order to spot performance issues in time. Modern aircraft engines can generate up to half terabyte of data in a single flight, which can be used by predictive analytics to detect system faults, give early warnings and identify any issues in their overall health.
Real-time analytics can unearth insightful information from both structured and unstructured data streams produced by the aircraft engines. Integration of IBM’s big data technology will significantly expand the aero-engine maker’s current performance monitoring capabilities of over 4,000 operational commercial engines.
Benefits of Integrating Big Data
Predictive analytics will help customers to benefit from longer time "on-wing," and deliver richer insight into flight operational data. Moreover, it will grant the aero-engine maker enhanced visibility so that it can optimize fleet operations along with improving cost efficiency.
In addition to prolonging engine life and reducing maintenance costs, the analytics tool will allow Pratt & Whitney to proactively monitor the exact condition of the engines.
Moving Forward
IBM will support Pratt & Whitney to integrate automated logistics into the advanced military diagnostic, prognostic and health management capabilities of its rapidly expanding commercial fleet.
United Technologies currently has a Zacks Rank #2 (Buy). Other stocks in the diversified operations industry that look promising include Noble Group Ltd. (NOBGY), sporting a Zacks Rank #1 (Strong Buy), and Macquarie Infrastructure Co. LLC (MIC) carrying a Zacks Rank #2 (Buy).
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