Digital Transformation is Obsolete

October 6, 2020

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Digital Transformation as a business term has been overused and abused to the point where we should stop saying it.

It has joined the ranks of some of the other annoying and overused terms like giving 110%, putting lipstick on a pig, and synergy...just to name a few. Pick your favorite.

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Associations - A Sense of Community

October 6, 2020

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Industry specific associations are one of the best forms of targeted networking that there is. 

Surrounding yourself with people that share the same challenges, speak the same industry vernacular, and have the same directives, creates a sense of community.

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Machines Never Sleep

October 6, 2020

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The Bright Side of Automation: Machines can help humans sleep better at night.

 

Automation is everywhere in our personal lives. From a Roomba 960 vacuuming the house while you are out, the Polaris P955 cleaning the pool, and your Oster automatic coffee machine(I can’t afford a Cuisinart) patiently waiting to brew your morning coffee. Take it a step further with a Google Nest Hub, practically everything in the house is at your fingertips or the tip of your tongue with voice commands.

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Maximizing the Power of Metadata                 - Is Data Management the New Cool?

October 6, 2020

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What is Metadata? It is data that provides information about other data. It summarizes basic information about data, making finding & working with particular instances of data easier.

Where is it? It can be internal, within the contents of the file. Or, it can be external, residing in a database, catalogue, library or an index associated with the file.

How is it created? It some instances, it can be created manually, but most metadata is created automatically by the applications used to create the file. 

What is it good for? Now here is where it gets interesting….

 

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A Byte of Rice - The Scale of Enterprise Data

July 3, 2020

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If we begin with this analogy, that ONE BYTE OF DATA = ONE GRAIN OF RICE. Here is what that volume looks like if we apply it to the larger units of measure for data sets.

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