[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…
Master Solutions Architect
Data Engineer
Backend Developer
Integrated Systems Engineer
Systems and Industrial Integration
Master Solutions Architect
Data Engineer
Backend Developer
Integrated Systems Engineer
Systems and Industrial Integration
[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…
Energy Forum: BP keynoter Clint Wood, “Communication continuum goes as follows: chaos – noise – data – information – knowledge…
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.
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.
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)
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)
Multi-Nodal, Multi-Variable, Spatio-Temporal Datasets are large-scale datasets encountered in real-world data-intensive environments.
Information is the core, the root, of any business. But exactly what is information? Many will immediately begin explaining computer databases. But only a small portion of information theory is actually computer databases.
The improved operational performance promised by a seamless digital oil field is alluring, and the tasks required to arrive at a realistic implementation are more specialized than might be expected. (2-part series)