Archive for Predictive Maintenance

Driving Results with Analytics in Oilfield Operations

During the Operational Excellence in Energy, Chemicals & Resources conference in Calgary in early June, I had the opportunity to participate in an interesting and informative panel discussion with two upstream oil & gas experts from Tata Consultancy Services (TCS) and Rustom Mody, Vice President, Enterprise Technology at Baker Hughes that focused on how companies can, […]

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Cognitive analytics for industrial use: Part 1

Note: This is the first blog of a two-part series examining some of the differences among advanced analytics techniques. This post discusses some of the differences between cognitive analytics and single-layer algorithm analysis, discussing the example of asset failure prediction as part of an overall asset performance management (APM) strategy. What Do Cognitive Analytics Try to […]

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Industrial IoT: Looking backward and forward at BLAST 2017 in Rome

At the recent BLAST conference in Rome, Italy, Alessandro Bassi, president of IoT Italy, moderated a panel about IoT in Industry.  Sergio Gusmeroli, Research Coordinator at the Politecnico School of Management in Milano spoke on the importance of IoT for Industry.  I introduced some Industrial IoT applications, and Maurizio Griva, Senior Manager at Reply (a system […]

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Rental Equipment Lifecycle Management with IIoT

Part 3 of a three part series on the impact of IIoT on OEMs and their dealerships. Part 1.  Part 2. IIoT-enabled remote connectivity and analytics offer equipment dealerships and rental companies an opportunity to grow revenues through new maintenance services, while providing higher uptime and customer satisfaction for the end user.  OEMs, dealerships and […]

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Emerging IIoT Services by OEMs, Renters and Dealerships

Part 2 of a three part series on the impact of IIoT on OEMs and their dealerships.  Part 1 is here. Original equipment manufacturers (OEM) are starting to offer IIoT-enabled remote monitoring and analytics services on a subscription basis that identify an issue before it harms the equipment or cascades into a major incident.  Success […]

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