Author Archive for Mike Guilfoyle

Industrial Subject Matter Experts and Analytics: Building the Plane While Flying It

Anyone that I’ve talked to knows that I’m a big believer that analytics, even the most automated edge uses, require the integration of industrial subject matter experts (SMEs), whether in design, training, or adjustment phases. On these pages, I’ve written about SMEs, including the roles of data scientists and citizen data scientists. I’ve also discussed […]

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When Operational and IIoT Data Collide at the Edge

For industrial companies engaged in digital transformation, analytics are key to turning large volumes of data into business value for operational enhancements as well as improved customer experience.  Many data sets are available. Often, operational and IIoT data are considered separately, or they are both considered streams that simply feed Big Data industrial analytics. In […]

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GE Minds and Machines Showcases Predix Adoption by Utilities

The tone at GE Minds and Machines 2017 in San Francisco was pretty upbeat. Attendance rose significantly from 2016, with more than 3,700 people from 59 countries on hand. Some key Predix partnership advancements with Microsoft Azure and Apple were announced. New CEO John Flannery delivered an unequivocal keynote backing GE’s commitment to going digital […]

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Oracle Sees Bright IIoT Future: OpenWorld 2017

Oracle Strategy for Artificial Intelligence Becomes Clearer Early October’s Oracle OpenWorld provided some helpful granularity relative to the company’s overall message about cloud-delivered business. The cloud message was still a dominating theme, building upon last year’s OpenWorld theme that was all-in on the cloud all the time. However, the company also delivered some specific insight into its […]

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Operational Analytics and the Value of Iterative Improvement

There are many different types of operational analytics. Solutions offered are far ranging, such as enhancements in traditional statistical methods, model-based techniques that include streaming data, and the use of machine learning. Additionally, some of the techniques can also applied for specific effect, such as natural language processing and semantic search. Trying to find a […]

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