Industrial Internet of Things (IIoT) Engineering is a discipline in and of itself – somewhat a macro-discipline. The IIoT engineer is focused on the extension of the organization into a field-level mentality of acquisition, preparation, analysis, reaction, automation, assessment, etc.
Mark (Prof) Reynolds
Master Solutions Architect
Data Engineer
Backend Developer
Integrated Systems Engineer
Systems and Industrial Integration
Mark (Prof) Reynolds
Master Solutions Architect
Data Engineer
Backend Developer
Integrated Systems Engineer
Systems and Industrial Integration
Knowledge Systems
June 17, 2018
The Discipline of IIoT Engineering
AnalyticsDigital TransformationEdge ComputingForensic AnalysisIIoTIndustry and ApplicationsKnowledge SystemsOperationsPredictive AnalyticsReal-TimeSystem and Knowledge Engineer
May 18, 2018
The Data Driven Mindset
AnalyticsDIKWKnowledge Systems
What is a Data Driven Mindset? Why does it matter to identify Data Driven concepts? Starting from the basics, Data Driven “means that progress in an activity is compelled by data, rather than by intuition or by personal experience.
May 17, 2018
Three Catalysts of Digital Transformation
AnalyticsDigital TransformationKnowledge Systems
Digital Transformation is not an action or event, it is a journey. Even more than a journey, consider Digital Transformation to be a corporate mindset, a Digital Strategy, and vehicle for embracing new paradigms.
April 27, 2018
This Digital Transformation Web Site and Blog
AnalyticsDigital OilfieldDigital TransformationDIKWIIoTIndustry and ApplicationsKnowledge Systems
[updated May 17, 2018] DigitalTransformation.Engineer This www.DigitalTransformation.Engineer website and blog site is a personal creation; a personal labor-of-love project. Through…
April 24, 2018
SPE Digital Energy Conference
Data MiningKnowledge Systems
Energy Forum: BP keynoter Clint Wood, “Communication continuum goes as follows: chaos – noise – data – information – knowledge…
March 10, 2012
Thoughts on Data Mining
Data MiningDIKWKnowledge Systems
The term Data Mining does not convey the different aspects of data mining / knowledge discovery. The basic types of Data Mining are: Descriptive data mining, and Predictive data mining.
February 9, 2012
Artificial Intelligence vs Algorithms
AIDIKWInformation TheoryKnowledge SystemsPredictive AnalyticsSoftware Development
I first considered aspects of artificial intelligence (AI) in the 1980s while working for General Dynamics as an Avionics Systems Engineer on the F-16.
September 8, 2011
What is Content?
DIKWKnowledge Systems
The operations system designer should perform content analysis. Content analysis is both qualitative and quantitative.
September 1, 2011
The Value of Real-Time Data, Part 2
DIKWKnowledge SystemsReal-Time
Predictive analytics is a combination of statistical analysis, behavior clustering, and system modeling. No one piece of predictive analytics can exist in a vacuum; … (3-part series)
August 31, 2011
The Value of Real-Time Data, Part 1
DIKWKnowledge SystemsReal-Time
Real-Time data is a challenge to any process-oriented operation. But the functionality of the data is difficult to describe in such a way that team members not well versed in data management. … (3-part series)