With petabytes of confidential information in their possession, strategy and engineering firm PavCon LLC uses Amazon Web Services Inc. to protect your information as a U.S. Air Force contractor. The company also uses this information to improve its current machine learning and artificial systems. Intelligence to predict potential threats and upcoming maintenance.
Milissa Pavlik , President and CEO of PavCon LLC said that a lot of the data in the Air Force is human input, which is manual, which means it is open and there are a lot of errors in that data, so we focus very much on the integrity of the data. We looked at these monitored and unsupervised [machine learning] models and took a completely different approach to adding domain knowledge to them.
Pavlik spoke to John Furrier, host of theCUBE, SiliconANGLE Media’s live streaming studio, during the AWS Summit Washington, DC. They talked about using machine learning to support the Air Force, modernizing the Air Force with predictive maintenance models, and more.
Moving to Cloud
Machine learning helped PavCon reduce the time it takes to monitor data and free up resources for tasks like predictive maintenance, which analyzes the health of hardware to determine when maintenance is required.
In this case, we’re talking about focusing on the main drivers and depending on the type of data we have, it helps us dictate the monitored and monitored route and follow the unattended route, said Pavlik. Although some scenarios still require monitoring, with more automation and automated data collection, unattended monitoring will be the way to go.
When it came to adapting to today’s digital economy while protecting valuable information, PavCon trusted AWS to handle sensitive information and took advantage of its vast, scalable infrastructure.
When PavCon took this route and needed to quickly find a format and host location that would allow them not only to handle large amounts of data, but also to do all of the deep analysis, they needed to bring AWS GovCloud into play. They have some great native services in their cloud, as well as easy peering and collaboration not only between the licensed products but between all the free and open source products out there.
