Predictive Maintenance Toolbox is designed to help engineers design and test condition monitoring and predictive maintenance algorithms.
Industrial asset data is worthless if it is left untouched or not used to its full potential to gain insights and make improved decisions.
Open platform concept for process industry to enable seamless integration of field instruments into business processes.
Progress DataRPM self-service anomaly detection is designed to empower R&D and innovation groups with better decision-making capabilities for IIoT proof-of-concept (POC) and pilot execution.
Top-performing industrial companies are those that invest in a culture of reliability.
Proof of concept integrates Australian-developed augmented reality solution with enterprise data to boost productivity.
AR has the power to transform the manufacturing sector, offering a completely new way of engaging with mechanical devices and executing tasks.
New solutions enable online continuous monitoring of equipment and process health.
Swedish polyethylene production site implements a digital prescriptive maintenance system.
Splunk Industrial Asset Intelligence (IAI) is designed to help industrial organisations monitor and analyse industrial IoT data in real time.
Queensland industrial IoT company secures $4.8m in venture capital.
Software suite unveiled to help utilities maximise asset performance and fast-track their digitalisation.
Mobile-ready collaboration software that takes advantage of industrial big data can transform business processes.
Annual market growth of around 10% is expected over the next five years.
Schneider Electric says it is experiencing increasing momentum in adoption of the company's Asset Performance Management (APM) solutions.