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Predictive maintenance

05.04.2018 / ITProPortal

Press Article

Predicting new models of manufacturing with big data

Predictive maintenance is the new big thing. While big data provides the ability to collect a vast amount of information, nobody really expected it to radically change the way we produce things. But using big data to predict when, where, and even how a tool may malfunction can make a major impact to a business’s bottom line.

12.10.2017 / Munich

Event

Cloudera Session Munich 2017

Data Reply exhibits and participates with a speech at the Cloudera Session in Munich, taking part at 12 October, from 8h to 18h in the Eisbach Studios/Munich. The Cloudera Session is an ideal platform for data professionals to exchange ideas about the latest use cases in Machine Learning and Artificial Intelligence (AI).

Predictive Maintenance

Best Practice

Optimising production and new service models

Predictive Maintenance is one of the central applications within Industrie 4.0. Analysing vast amounts of data collected from a network of connected sensors installed in production facilities, enables companies to make reliable predictions on how the conditions of a machine or facility will develop over time and when maintenance will be required.

Predictive Maintenance

Best Practice

The Self-aware factory

Concept Reply works to encourage companies to invest in Industrie 4.0, also thanks to tax benefits offered as part of the Calenda Plan. Discover how predictive maintenance made possible by Industrial IoT interoperability can improve production plant performance.

20.10.2016 / Milan

Event

SAP Forum Milan 2016

Syskoplan Reply, InEssence Reply and Portaltech Reply; take part in SAP Forum 2016 in Milan, the annual event focused current and future topics related to Business Innovation and Digital Transformation within the SAP world.

IoT Service Management

Best Practice

Predictive Maintenance - Efficient Service Management using the Internet of Things

The Internet of Things (IoT) represents a paradigm shift in the use of the Internet. What it refers to is the networking of "things" of all kinds – not only electronic devices, but everything that influences our lives and about which information can be gathered with the help of sensors. This enables us to be able to answer questions about the state of almost any "thing" anywhere in the world at any time. This added value in information can represent crucial support for business processes especially in service management.