Kx Insights: Machine learning and the value of historical data
2 Aug 2018
Data is being generated at a faster rate now than ever before. IDC has predicted that in 2025, there will be 163 zettabytes of data generated each year—a massive increase from the 16.1 zettabytes created in 2016. These high rates of data generation are partially an outcome of the multitude of sensors found on Internet of Things (IoT) devices, the majority of which are capable of recording data many times per second. IHS estimates that the number of IoT devices in use will increase from 15.4 billion devices in 2015 to 75.4 billion in 2025, indicating that these immense rates of data generation will continue to grow even higher in the years to come.
Top three ICT data themes at NXTAsia 2018
25 Jul 2018
By Thomas Kearney Collecting and analyzing big data in order to differentiate services in a competitive marketplace has been a common theme for many years among Western developed nations. In recent years, emerging markets have seen double-digit growth rates from similar provision of cheaper, faster telco services and from digitizing and optimizing their delivery chain. Now,
Kx Race Weekend, sensor analytics at speed
22 Jun 2018
From the Circuit Paul Ricard in France to the Lincoln Airpark in Nebraska to the Misano World Circuit in Italy, this weekend Kx is part of car races around the world -- a sign of how Kx technology is increasingly being recognized by competitive automotive teams for giving them a critical edge.
Kx Insights: Germany leading the world in manufacturing IIoT
23 May 2018
by Jamie Conlon The German government continues to lead the world in the adoption of Internet of Things technologies in manufacturing as part of its Industrie 4.0 plan, with initiatives ranging from advanced academic research to industrial trials, to ensure it remains at the forefront of the fourth industrial revolution. In a country where manufacturing
Kx Insights: SaaS for IIoT Predictive Maintenance in the Cloud
23 Jan 2018
Cloud computing is increasingly becoming critical to business, especially as digital technologies like IIoT become widespread. Gartner predicts that in the next year, the cloud-based Software as a Service (SaaS) market will grow 85%, five times faster than traditional software. For industrial companies who want to use the IIoT for predictive maintenance, cloud-based SaaS solutions offer tremendous opportunities that have the potential to disrupt the equipment maintenance world.
Kx Insights: IIoT for Predictive Maintenance and Big Data
9 Jan 2018
IIoT for predictive maintenance enables more extensive monitoring of equipment and processes at a much lower cost than traditional methods and delivers actionable warnings to prevent or minimize the consequences of an impending failure. Where IIoT for predictive maintenance is deployed in a well-designed program using Reliability Centered Maintenance (RCM) it will reduce surprise outages, lost production, extensive repairs, secondary damage and increase safety.