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Showing posts from January, 2020

Enterprise technology's juxtaposition, complementarity and application

The ability to see within an enterprise with operations requiring various technologies in information, communication, operational, security and compliance, or two or more of these, finds stakeholders, or the need to adjust techniques and make, some ingenious ways to be more effective in their responsibilities and deliverables or production. Enterprise technology is not an area and language to be used where there are only some specializations involved but which still within the confines of information technology. IT may have been serving utility operations or energy generation for sometime already and yet stakeholders cannot see how to work hand-in-hand to increase their own efficiency, and the output for which customers are very dependent. There are efforts but they remain completely separate and the result is the bigger realizations and concerns about costs rather than creation of value from the start, not just when profits began to come in. If IT is not clearly use in such environmen

Data privacy, impact assessment, and security-related system testing

Data privacy have become the norm for regulation, standardization and compliance regimes for everything data, vital to persons and businesses. Unlike the early days, data privacy laws have created favorable impressions. It depends on which side you are in. Geeks were dreadful of any kind of technology regulations and bureaucrats couldn’t hid their displeasure in new things as they play whip. Such regimes should be seen more as initiatives to improve the diffusion of technology for everyone and commit any kind of high technology build up into a more responsible social and economic instrument. With data privacy, its adaptation by all, which businesses were affected by the fact that we are not being careful how we use private data especially those being transacted online, is just a manifestation that there is a need for unsubtle formalization of, if not more echt in the, rules—our own in a manner that is, say, stringently and uniquely applicable for every purpose. We can focus on data pr