The exponential growth of the archived data (+ 622% in the last three years) has also increased the risks associated with the loss of information: on average, each company remained stationary for 18 hours a year to recover them at a cost of 530,000 dollars.
Plastic was one of the most important innovations of the nineteenth century, but we pay the consequences because in the invention its natural disposal was not contemplated.
We are generating the same phenomenon by collecting declassified data thinking that they are still useful, but we have not thought about how to reclassify them and consequently how to dispose of them.
|ARTIFICIAL INTELLIGENCE||HEURISTIC INTELLIGENCE|
|MACHINE LEARNING||DATA LEARNING|
|INTERNET OF THINGS||INTERNET OF PEOPLE|
“The complexity of a microcircuit, measured for example by the number of transistors per chip, doubles every 18 months (and therefore quadruples then every 3 years).” (Moore’s first law)
We continue to generate I.o.T. at an ever increasing speed both as advanced versions of the previous one and as new ones, collecting quantities of data that we sometimes neglect and sometimes memorize but without any classification.
This attitude generates constant misunderstanding on the part of the software in using these declassified data and without any possibility of adding and creating new heuristics.
The last plane crash in Ethiopia creates a paradox that should make us think further considering that it had already happened previously in Indonesia.
“Yesterday, Ethiopia chose to entrust the analysis to Germany, but the German federal agency for air accidents had declined the request for” lack of the necessary software “to analyze them.” Source Il Messaggero of Thursday 14 March 2019
We are so unaware of the scenarios we are producing that we delegate to I.o.T. and we authorize the software that interfaces them to decide or worse to exclude the man and his heuristics in the reality of the context.
So I ask myself a question too many devices have evolved or is the classification of the data we collect missing to allow software to work on a heuristic basis ?
After the prototype phase we activated the first stock for sale on Amazon of our Black Box Recognition License Plate solution.
We started to change the world through the use of Analog Technology
We have intuited and realized the Digital Technology
We have dared, created and praised Artificial intelligence
“I have seen things that you humans could not imagine” (pronounced by the android Roy Batty in the science fiction film Blade Runner, 1982
Now in the evolution of the Italian style we have created a totally innovative phenomenon: The Electronic Invoice, which in a context of globalization both international and European should help Italian companies to be more competitive.
Too bad that in selling a service in web service mode on e-commerce platform, by an Italian company, the process of electronic invoicing must be interrupted in its automatism, for a certification of human interactivity and all this obviously with considerable inconvenience on all the fronts.
Will it be possible in the near future to integrate and interact with the various platforms for the production of Certified Digital Bills and in a totally automatic way ?
The I.O.T. it becomes more and more the preferential channel to which we delegate the collection in an increasingly exponential quantity of information such as texts, images, videos, etc …
As a result, we enrich and contaminate our daily life with a large number of unstructured information having the temporal relation as the only classification element.
Obviously, the effectiveness of this information gathered only resides in the present, without having any useful reference to the past and the future.
Are we sure that by continuing with this attitude we will always be the ones to design with our intelligence and respect for cultures the use of technology, or will we be so robotic in our intelligence precisely because we have eliminated culture as a fundamental heuristic element of differentiation ?