We are confident we live in a Paradigm Shift era.

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The Internet of Things, Big Data, Data Mining, Artificial Intelligence, and Machine Learning have transformed machines from serving a specific purpose to being self-driven. 

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Nowadays, information is readily available, free, and accessible to everyone. Due to this, producers and consumers are in direct contact, and no middlemen are involved. As a result, consumers can purchase goods at prices that benefit both them and the producers. However, this direct interaction has led to some issues related to quality control. Since the middlemen are no longer involved, their guarantee is missing, and consumers cannot always be sure they are getting what they see.

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To survive in today's rapidly changing business environment, reorganization is vital. Relying on past practices is no longer a viable solution. Although we have a plethora of Big Data available to us, it can seem chaotic when we try to analyze it through the lens of Reductionism. Predicting the future without considering Data Relations is likely to lead to failure. However, because of the default rule of Reductionism, Relations are often not measured. Predicting the future is crucial today, but unfortunately, more than half of the global production never makes it to the final consumer. This drives up final prices and results in much of the excess production being stored as garbage on our planet, creating a significant problem for us all.

Imagine the world producing less than today and consuming more. There would be less global garbage and lower prices, and consumers would find any product to fulfill their needs quickly. Businesses would operate profitably or terminate operations.

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In the field of Social Sciences, there is an urgent need for change. The economic systems of Capitalism, Socialism, and Communism revolve around the ownership of the means of production, whether private or public and the redistribution of wealth. However, none of these systems take into account the input or decisions of the wealth producers themselves. What if a new system could accurately measure each person's contribution to wealth production and distribute it fairly?

We need a new system that can precisely measure the wealth produced by individuals and distribute it fairly. This would motivate people to share their wealth directly in micro- and macro-economics rather than receiving an average part of the system's cumulative numbers.

Imagine a society where every citizen works in their area of expertise and is rewarded based on their contribution to the collective. If implemented, this system would result in universal contentment, exponential GDP growth, and elimination of global debt.

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In the medical field, cancer treatments are known to attack both cancerous and healthy cells. However, if therapies were developed using Systems Thinking, the cancer cells would be isolated first, and then the appropriate drugs would target and eliminate them without harming the healthy cells. On the other hand, in the case of COVID-19, the global medical community is currently researching a solution in a flawed manner by only collecting data from hospitalized patients. This approach overlooks the asymptomatic individuals who have successfully fought off the virus, and their valuable information is excluded from the research. The organizations of asymptomatic individuals hold the key to their success, but they are not being included in the study. Recently, scientists have been studying individual drug cocktails for each patient instead of a one-size-fits-all approach. However, there is a lack of information about the global population individually.

Imagine a society where each citizen keeps their health records at MyMedicube. Each person receives treatments based on their records, and the community has access to an entire medical database (excluding GDPR) for study and evaluation.

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Reductionism served well in the Industrial Revolution era but cannot perform the same in the Internet era. 

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The ENTELECHY CUBE is a systems thinking predictive model that takes a holistic approach to solving problems in all areas of science. It measures elements within a larger context, organizes data into six views, and uses these relationships to predict a secure future. The Cube faces serve as a cross-check to ensure accuracy in the expected outcomes.

​Life on our planet is a balance of births, lives, and deaths.

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The Die is Cast!