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28. März 2024

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The machine learns and the human directs

The machine learns and the human directs© piqs.de/procsilas moscas

Independently thinking systems connect machines and data analysis.

In many current studies for an operational application of modern technologies, subjects such as communication and the networking of machines (“machine to machine/M2M”) are in the foreground. The applications relate to areas such as the energy, automotive, heavy goods vehicle or rail industries as well as infrastructure projects of countries or towns.
However, the networking is only one criterion, management and the evaluation of data amounts resulting therefrom are additionally essential. A European rail company now operates with the IT service provider
T-Systems, a pilot project for predictive maintenance, the combination of modern sensor technology with real time data analysis.

Lower maintenance costs
Thereby, sensor data are transferred into an integral cloud by T-Systems and connected their with a plurality of data from diverse sources such as route network, weather conditions or energy supply and with earlier levies. A prediction model results therefrom, which recognises possible damages long before their occurrence.
The practical use however shows further results, for example, from the error codes of the locomotives, conclusions can be made about disruptions on rail of current systems. In addition to rail businesses, related industries can however also profit from these solutions, for example operators of large heavy goods vehicle fleets, who lower maintenance costs therewith and thus increase availability as well as ultimately customer satisfaction.
“An added value of predictive maintenance which must not be underestimated are also valuable insights for the product development”, says Axel Quitt, Sales Manager Big Data at T-Systems.

Proactive communication with the customer
However, modern communication solutions do not only affect industry, but all sizes of businesses and industries. This applies in particular to the customer care, where intelligent, usage-oriented service packets replace the offer of product and service provision which was often provided separately up to date.
Ultimately, aspects are decisive such as the knowledge about, and the proactive communication with the customers as well as their address as individual as possible. Experts talk of so-called “Smart services“, which account for the famed difference or added value. “Take for example a monitoring system in a computer centre, which notifies the IT squad about an imminent outage by SMS and enables the quick problem elimination“, illustrates Markus Buchner, manager of websms.
The medium SMS is thereby a central component of intelligent business processes, directly or as an addition to smartphones and apps. With solutions of e.g. websms, interfaces for CRM or ERP systems as well as alarming and authenticity solutions are additionally integrated. In addition to cost efficiency, the reliable notification is thereby relevant, for example also without an existing data connection. “The focus must thereby always be on highest shipping quality”, says Buchner.

Links

red/czaak – translation by economy, Economy Ausgabe Webartikel, 15.11.2016