Real-Time

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.

February 6, 2012 Making of a Fly

AnalyticsOperationsReal-Time

While watching a TED video about algorithms, mention was made of an unrealistic price on Amazon. Apparently two retailers had an out-of-control computer feedback loop.

September 9, 2011 Predictive Analytics

Predictive AnalyticsReal-Time

Predictive analytics is used in actuarial science, financial services, insurance, telecommunications, retail, travel, healthcare, pharmaceuticals and other fields (Wikipedia).

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)

June 13, 2011 The Physics of Measurements

Edge ComputingReal-Time

The point to be made here is that neither the process of measurement, nor the device performing the measurement, is the process or event being measured; they are intrusive and will affect the reading.

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)

April 21, 2011 Multi-Nodal, Multi-Variable, Spatio-Temporal Datasets

Digital OilfieldReal-TimeUncategorized

Multi-Nodal, Multi-Variable, Spatio-Temporal Datasets are large-scale datasets encountered in real-world data-intensive environments.