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

Tag: Knowledge

June 17, 2018 The Discipline of IIoT Engineering
AnalyticsDigital TransformationEdge ComputingForensic AnalysisIIoTIndustry and ApplicationsKnowledge SystemsOperationsPredictive AnalyticsReal-TimeSystem and Knowledge Engineer

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.

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…

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.

August 31, 2011 The Data-Information Hierarchy, Part 3
DIKWKnowledge Systems

The Data-Information Hierarchy is frequently represented as
Data –> Information –> Knowledge –> Understanding –> Wisdom.

Or it is sometimes shortened to 4 steps, omitting Understanding. But, in fact, there are two predecessor steps: chaos and symbol. … (3-part series)

May 16, 2011 The Value of Real-Time Data, Part 3
DIKWKnowledge SystemsReal-Time

Data is never ‘in balance’, data always carries uncertainty, and the process cannot stop. Operations personally have learned to perform their job while waiting … (3-part series)