The digital twin bridge the gap in complex assets between OT systems and the IT environment by capturing data to monitor performance, deterioration and failure, location and safety compliance and remote monitoring systems for scheduling and asset utilisation.
Boris Volavicius in his interview talked to us about the benefits of IIoT, some challenges that are still to be tackled and his prediction for the industry.
Diego Galar, Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology, is bringing in the most advanced views from the academic and research field when it comes to Industry 4.0 and industrial AI.
One industry that abundantly reaps the fruits of AI innovation is without doubt manufacturing. AI has proven to be a real game-changer for the heavy asset and manufacturing industry.
For the second time, on May 23-24, 2019, Stockholm was host to nearly 200 Predictive Maintenance practitioners and key players, gathered for the Maintenance Analytics Summit, an annual event to share ideas, and discuss ways to harness the full potential of machine data and Advanced Analytics to improve and automate their condition monitoring and maintenance processes.
End of content
No more pages to load
