What is the Machine?

The portrayal of the “Machine” as the primary antagonist in the Image Nation of Numeria is not a tech fear.

The “Machine” referred to is not some autonomous metal beast set out to destroy mankind.

Since I first heard AOL announce that I had Mail through my 9600 baud modem, technology has helped me to increase the power, accuracy, and expanse of all my endeavors.

The “Machine” has pampered me, and I like my modern conveniences. Even during my darkest days, my machinery remained an active conduit for Provision.

None of this is hatred for the “Machine” , but a plea to fix it.

The “Machine” is a composite of all the machine-like mindsets, the minds who program the binary machines (computers).

Unfortunately, some of these machine-like human minds, loathe their own humanity, and believe that human weakness, fragility, fear, and confusion can be overcome with the “Machine.”

Masking this fear of being human as innovation, these machine-like minds program their parent/self/child hatred into the binary machine’s data, and disseminate this human animus as logic, science, and education.

To the unaware, data is just data – inert until interpreted. However, machine-like minds know that data can be contextualized to fit the purpose for which was intended. To sell, to scare, to encourage, to motivate etc.

Unfortunately, during the last 30 years I’ve seen more people being trained just enough to synthesize data for the “Machine” and fewer being educated enough to understand the synthesis of the “Machine.”

So how does this “Machine” manifest itself in lives of people?

The Importance of Data in Today’s Economy

In today’s rapidly evolving digital landscape, data has become one of the most valuable assets for businesses across the globe. The way we collect, analyze, and utilize data has a direct impact on the success and growth of companies in various industries. But this data is absent “The Real Y”.

Evolution of Data in Economy

From the early days of paper-based record-keeping to the advanced data analytics tools and technologies available today, the evolution of data in the economy has been extraordinary. In the past, businesses relied on manual (human) processes to collect and manage data, which was not only time-consuming, but also prone to errors.

Human Reason is unreasonable. It is not a profitable feeling. Yet it is the “Real Y”

However, with the advent of digital technology, data collection, storage, and analysis have become more efficient and accurate than ever before. Today, businesses are able to gather vast amounts of data from various sources, such as customer interactions, social media, and website analytics. This data provides valuable insights into consumer behavior, market trends, and business performance. By harnessing the power of data analytics, companies can make calculated decisions, optimize their operations, and drive growth.

The “Machine” saves companies the time of interacting with their customers, and having to accommodate unprofitable feelings. The “Machine” tells them which feelings are profitable so they can direct their efforts toward our profitable feelings.

The Value of Data in Decision Making

Data-driven decision-making has become a cornerstone of modern business strategy. By analyzing data, businesses can identify patterns, trends, and correlations that may not be apparent through traditional methods. This allows companies to better understand their customers, anticipate market changes, and stay ahead of the competition.
For example, an e-commerce retailer can use data analytics to identify which products are performing well and which ones are underperforming. By analyzing customer purchasing behavior, website traffic, and sales data, the retailer can optimize its product offerings, marketing campaigns, and pricing strategies to increase revenue and customer satisfaction.

The “Machine” can triangulate your pain points, apply the pressure, and sell the easy relief, an Imaginary Y.

“Real Y” is a syntax error to the “Machine” because it can only process Human Reason in terms of data. But the “Machine” only has data on our profitable feelings.

The importance of data in today’s economy cannot be overstated. Data has transformed the way businesses operate, make decisions, and engage with customers. By leveraging data analytics and prioritizing data security, companies can unlock valuable insights, drive innovation, and gain a competitive edge in the digital age. As we continue to rely on data for growth and success, it is crucial for businesses to prioritize data management best practices and stay ahead of evolving data trends. This is good.

However, the minds of the people creating, gathering, and using this data have repeatedly ignored the importance of the human experience factor. The nuances of human experience that aren’t machine readable such as the importance of our unprofitable feelings.

The “Machine” will only perform the purpose for which it was programed. It’s not that the “Machine” is cold and unfeeling, it’s not supposed to care about what’s important to you.

Its only measure of importance is derived from what humans place significance on.

If we’re finding the “Machine” to be cold and unfeeling, that’s a clue as to what humans are placing their significance on.

I ask you to consider the long term result of humans depending on “Machines” that haven’t been programmed to consider the importance of the human experience.

When the only feelings are the profitable ones.