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.
On Tuesday, we are opening up the 3rd edition of the Maintenance Analytics Summit where attendees will have a chance to follow online presentations by some of the esteemed experts in predictive maintenance, condition-based monitoring, IIoT, asset lifecycle management and Advanced Data Analytics.
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.
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.
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