Combined company to provide world’s first fully-predictive insights across assets, processes and operations, giving manufacturers greater control over output, quality and sustainability
Provides asset data expertise to guide our clients in generating and leveraging the data created during design and construction for more efficient operations and maintenance and prepare them for the implementation of modern automation technologies such as virtual reality or a Digital Twin
Augmentir’s suite of AI-powered connected worker tools helps industrial companies to deliver effective skills management, training, collaboration, and point of work support for today’s more dynamic industrial workforce.
Projetech Inc., a Gold IBM Business Partner, is proud to announce it has become an independently operated, wholly-owned subsidiary of Galanthus Partners.
Major IoT vendors including AWS, Google Cloud, IBM, Microsoft, SAP and SIEMENS leverage secure, standardized information exchange in edge-to-cloud applications based on OPC UA
Innovapptive, a digital transformation leader, announced today that it is launching its Connected Worker Platform that serves the needs of companies undergoing a digital transformation of their asset maintenance operations
Creating a cohesive relationship between operational excellence and digital transformation requires a balanced approach that brings the design, operations and asset management disciplines together in an intuitive way to enable new levels of operational efficiency.
Uptake Fusion cost-effectively allows companies to set up data lakes, in addition to enterprise-wide asset monitoring, automated reporting, and digital twins
Seeq enables engineers and scientists in process manufacturing organizations to rapidly analyze, predict, collaborate, and share insights to improve production outcomes.
I was at a small Italian restaurant in the East Village of New York City eating dinner with the Physics genius Albert Einstein and Quality Management guru Dr W. Edwards Deming.
How to Gain Timely and Accurate Data Insights to Optimize Asset Performance and Reliability
Data-driven decisions are those backed up by hard evidence; reliable and trustworthy data, rather than intuition, gut instinct, or guesswork. However, the abundance of data that is generated from Industrial Internet of Things (IIoT) devices and multiple siloed sources makes it difficult to analyze. The worst thing that can happen is that critical data is missing, remains hidden, or is incorrect. So, how do you know you have the correct information to make the right decision at the right time?
Bentley’s Ongoing Commitment to Interoperability and Open Standards Includes New Enterprise Interoperability Services
EXTON, Pa. – March 17, 2020 – Bentley Systems, Incorporated, today announced that Alan Kiraly, Bentley’s SVP for asset and network performance, has been elected to the board of MIMOSA.
TRC-2018 Learning Zone 43:48
by Aaron Beazley and Scotty McLean, Bentley Systems
Data without context is dangerous and puts the organization at risk. Yet our assets and data are always changing. Change can be predictable or unexpected, manageable or catastrophic, beneficial or disastrous, significant or inconsequential, inevitable or avoidable. Whether normal wear and tear on components, systems or facilities necessitating maintenance, modifications or replacement; failure of systems, human error or accidents, or proactive changes to benefit the operation; all change needs to tracked and managed so that you can mitigate risk. Learn why the requirement of configuration and change management is essential in today’s complex asset and data environment and what you can do about it today to prepare your organization for significantly increased data management needs. Change management is not an event, it is a process that needs to be supported.
Recently, a question was forwarded from Lhoist’s National Maintenance Manager Mauricio Arroyo to Reliabilityweb.com’s Global Relationship Leader and Director of Women in Reliability and Asset Management Maura Abad. The question was prompted after Mauricio read the Asset Condition Monitoring Project Manager’s Guide (Guide) to which Maura had provided a download link. The question was:
“In their [the Guide’s coauthors] experience across the industries, what is the average Cost Avoidance that they have found?”
Although the Internet of Things (IoT) has the ability to provide organizations with an astounding amount of data to help increase uptime, reduce total cost of ownership and improve operational efficiencies, companies are not using this data to its fullest potential. In fact, according to a report by McKinsey & Company, most IoT data remains unused. The small amount of data that is being used is generally applied only to anomaly detection, with little ongoing, sustainable value being achieved.
ChatGPT with ReliabilityWeb: Find Your Answers Fast