[From wikipedia: Inflection Point =
] In differential calculus, an inflection point,point
of inflection, flex, or inflection (inflexion)
is a point on a curve at which the curvature or concavity
changes sign from plus to minus or from minus to plus. The
curve changes from being concave upwards (positive curvature)
to concave downwards (negative curvature), or vice versa. If
one imagines driving a vehicle along a winding road,
inflection is the point at which the steering-wheel is
momentarily "straight" when being turned from left to right or
vice versa.
I copied this chart from the many choices (google 'inflection
point' and select 'images') I saw illustrated what I believe
has already occurred and now is emerging in many ways, as
connectivity and patterns, and data become part of the new
"energy and information" is transducing from things, to
no-things.http://gregreeder.wordpress.com/2011/03/13/hello-world/

We are entering a world where our filters and biases are going
to be data, not the truth...
A CONVERGENCE of meaning, matter (structure), patterns (form),
and sense-making constituting the basis for aliveness, now
coupled with the democratization of technology--resulting
connectivity--and the acceleration of transduction--the
conversion of one form of energy (largely fossil fuel), into
another (largely ideas used in innovation)...or thought, which
is engaged in the recognition of data, the regulation of the
data into signal and noise categories, where the data becomes
part of our experience, as a part of Chris Aryris Ladder of
Inference.
With transduction, energy and
information, as we know it in the quantum world is becoming
alive.
The implications of this simple
equation are beyond our current imagination's capability
because we only have what we know to work with, not what we
can imagine, and what that imagination can provide in the
future.
This inflection point is key to
notice because we need to begin to look at and establish new
ways of acquiring, visualizing and imagining data dynamically.
A new form of dynamic, which I am naming DATA DYNAMICS, (when
searching I couldn't come up with a definition out there,
except one being applied in software development.).
This inflection point is important to understand because
there are assumptions either side of the shift in direction,
which are important to understand, model and simulate, and all
of this is about the recognition and regulation of data, or
data dynamics. Analytics, which uses, models and analyzes data
is key, and what we see here in the following examples is a
new form of data modeling that begins to question the very
structure of how we recognize and "regulate" data in systems. |
Helpful Hint: Data Dynamics are going to allow
us to start to manipulate, the manipulated, the meta pattern
of data itself must be dynamic, questioned and modeled, before
we can even get to the dynamics of the system, which is where
energy and information is transducing, whether it be cells
carrying information, DNA storing information and through
transduction moving information through generations and
culture, data dynamics are going to become critical to the new
set of assumptions on the otherside of complexity. |