I outran a rabid dog in private property twice. That’s how fast I can be.

Snap City is your own scared ass limitations.

CT Fletcher

A beautiful and simple reasoning allowed someone centuries ago to arrive at the conclusion that the Universe is not infinite, just by looking at the night sky.

This is the beauty and power of Reason.

Define a decision as a logical outcome. What do you get?
You get a rational decision making system that is fast, mathematically accurate and adapts on the fly.
It learns and reasons without training, as soon as rules or conditions change, and you always know why a decision was made regardless of how arbitrarily complex it is.

Forget about the legacy probabilistic machines (modern engineers’ “AI”), because this one is deterministic. You cannot have it better for life- or mission-critical decisions.

In his treatise “Rules for the Direction of the Mind” (1701), Descartes states regarding the first of his rules, the principle of systems thinking applied to sciences.

Whenever men notice some similarity between two things, they are wont to ascribe to each, even in those respects to which the two differ, what they have found to be true of the other.
Thus they erroneously compare the sciences, which entirely exist in the cognitive exercise of the mind, with the arts, which depend upon an exercise and disposition of the body.
They see that not all the arts can be acquired by the same man, but that he who restricts himself to one, most readily becomes the best executant, since it is not so easy for the same hand to adapt itself both to agricultural operations and to harp-playing, or to the performance of several such tasks as to one alone.
Hence they have held the same to be true of the sciences also, and distinguishing them from one another according to their subject matter, they have imagined that they ought to be studied separately, each in isolation from all the rest. But this is certainly wrong. 

This was much before modern management concerned itself with the subject, and in this context Russ Ackoff provides an apt overview:

Modern engineers still don’t understand what Reasoning is.
They call a piece of statistical garbage “the first reasoning AI agent”.

It requires a quite different strength and agility to maintain one’s position within a system that is never fixed and where ideas are free and still evolving, than in a dogmatic world.

Nietzsche, 1885

Nietzsche (1885) was talking about Leonardo da Vinci, but his words apply justly to the PMI Disciplined Agile system, a «people-first, learning-oriented, shared and ever-adapting body of knowledge».
This system, in particular the DA Flow for Enterprise Transformation (DA FLEX), is the humane leadership approach we need to lead 21st century knowledge workers into a brighter future both for corporations and workers, breaking with decades of simplistic one-size-fits-all single-loop empirical control and people-alienating processes such as Scrum.

I have recently achieved the DA Value Stream Consultant certification, and I stand by every word that PMI uses to describe this wonderful body of knowledge. This is the way to build and lead great teams and re-energize enterprise-wide initiatives for the rest of the 21st century and beyond.

Also I would like to commend the PM Training School for their quality training and their support during the whole journey.

No college in the world can teach you how to achieve this result.

And it is easy to know for how long this status will last: as long as those “engineers” and computer “scientists” talk about probabilities and parameters, you will know that they are talking about something else entirely.

Effort is the development of a farse.

We need a framework to explain reality with.

A framework cannot explain anything more fundamental to it since that fundamental reality is the model’s assumption.

Therefore, the inductive replacement of a framework by something fundamental is unbound. Therefore, there is no possibility of ever achieving a complete understanding of reality.

That is, reality is forbidden to our knowledge.