Read 2020 recap: Predictive maintenance and analytics
Predictive Maintenance Tech

Read 2020 recap: Predictive maintenance and analytics

Initially slower to catch up with the data-driven transformation, the heavy-asset industry has certainly accelerated the adoption of predictive analytics systems that provide multiple maintenance advantages such as fewer outages and breakdowns, extended lifecycle of the assets and equipment, better plant safety, and enhance the overall quality of operations and supply chain processes.

Business Predictive Maintenance

Welcome to the age of Industrial AI: Reflection on the Maintenance Analytics Summit 2020

This week, we had the pleasure of hosting the 3rd edition of the Maintenance Analytics Summit, the first time in a virtual setting. Traditionally PdMA Summit brings together maintenance professionals, experts, practitioners, and enthusiasts who are eager to learn from the latest and most innovative methodologies, tools and case studies in data-driven maintenance and advanced data analytics.

Diego Galar
Artificial Intelligence IIoT

Data and AI Innovators – Diego Galar

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.

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