For commercial airlines, keeping flights running safely and on time is the highest priority. With limited information, identifying and isolating plane maintenance needs could take hours, even with an experienced crew. Read more to learn how SparkCognition used its natural language processing platform DeepNLP to mine work orders to identify faults and corrective actions.
Most Recent Flipbooks
Customer Success Story: Identifying Non-Productive Time and Invisible Lost Time on Oil Rigs
Case Study: Improving Offshore Production with AI-Based Predictive Analytics
One major oil platform operator was facing recurring failures in production subcomponents that resulted in >10% downtime and millions of dollars of lost production. They employed SparkCognition’s turn
Predictive Maintenance for Military Aviation Assets: An Air War College Innovation Project
Why Machine Learning is the Future of Predictive Maintenance in Aerospace
Preventing failures and accidents is critical for the aerospace industry. Minor incidents can ground planes for extended periods, and a single day of grounding for a plane costs roughly four to five
The Practical Guide to Industrial AI: Benefits and Implementation