WHY MACHINE LEARNING IS THE FUTURE OFPREDICTIVE AND INDUSTRIAL MAINTENANCE

July 10, 2020

There’s no arguing that preventing failures and accidents is critical for industry. Unexpected incidents can grind operations to a halt for extended periods of time and necessitate expensive repairs. Just 12 hours of downtime for an oil production platform could cost six to eight million dollars in lost production opportunity alone. A single day of grounding for a plane costs roughly four to five million dollars. Because of these disruptions, industrial sectors are always on the lookout for newer, better maintenance methods, and the approach on everyone’s lips right now is predictive maintenance. While everyone agrees on the name, there is less consensus on what it means or how to implement it. But to truly unlock the potential of predictive maintenance, it needs to be paired with artificial intelligence (AI) and machine learning (ML).

Spotlight

BlackStratus

BlackStratus is a leading provider of cloud-based security information and event management (SIEM) software solutions deployed and operated by ''Security as a Service'' (SECaaS) providers of all sizes, government agencies and individual enterprises. Our SIEM Storm technology is used by organizations worldwide to detect, prevent and defend against both major and minor IT security breaches from the end point to the data center, to the ''Cloud.'' The SIEM Storm technology delivers a correlated and centralized, real-time view of alerts, status messages and a variety of security events generated by disparate third-party security products (such as firewalls, anti-virus products, intrusion detection software, etc.), allowing security professionals to identify and stop potential threats in real time.

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Spotlight

BlackStratus

BlackStratus is a leading provider of cloud-based security information and event management (SIEM) software solutions deployed and operated by ''Security as a Service'' (SECaaS) providers of all sizes, government agencies and individual enterprises. Our SIEM Storm technology is used by organizations worldwide to detect, prevent and defend against both major and minor IT security breaches from the end point to the data center, to the ''Cloud.'' The SIEM Storm technology delivers a correlated and centralized, real-time view of alerts, status messages and a variety of security events generated by disparate third-party security products (such as firewalls, anti-virus products, intrusion detection software, etc.), allowing security professionals to identify and stop potential threats in real time.

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