How to convert an electronic invoice to a digital invoice ?

How to convert an electronic invoice to a digital invoice ?

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 ?

 

 

Intelligent Robotics or Robotic Intelligence ?

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 ?

 

 

 

 

 

 

 

 

Digitalize without Classifying

  • We have learned to draw to communicate.
  • We have learned to write to optimize communication.
  • We have optimized the way we write to be faster in communicating.
  • We began to communicate by digitalizing what we write to be even more flexible in communication.

 

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Are we still in time to correct everything that we have digitalized without classification to continue to communicate?

Profiling without classifying ?

Reading the data to create coherent and increasingly performing profiles is the winning element for which company data have a real value in marketing optimization and business intelligence services. Unfortunately, the reading of these data, in many cases, is performed without a true classification of the base data, producing analytical aberrations in aggregating subjects other than the source but not recognized as such.

Classifying and doing it in a coherent way to identify the different element before any transformation of the base data into an analytical data is at the basis of the Data Cleansing functions.

The preliminary use of these techniques means that they can maximize the performance of the analysis by diversifying and aggregating correctly the profiles that are generated.

Unclassified Data is the prelude to the Digital Desert

#Vint Cerf (Google) raises a red flag: “Behind us there is a huge digital desert, another Middle Age time. But if you really care about a photo, print it.”

by Giulia Belardelli L’Huffington Post

One of our greatest issues we are going to face is to find out where our data is going to be stored before having it lost forever.

Digital disruption and AI are evolving in such a light-speed way, while we are barely walking behind. IoT is more and more the favorite channel where data is collected in an exponential way, and quickly being stored throughout a network of objects. But what about us the people, and the Internet of People before the Internet of Things? What can we make of such a ‘Big Data’ without an appropriate classification and validation process of it? We cannot let quantity win over quality, unless we want to be reduced to machines ourselves, so that we will definitely lose the game.

If we don’t know how and where our data will be stored, we won’t be part of the main heuristic process which in the end is ‘understanding.’ That’s why the daily result of such a passive behavior is GI/GO: garbage in, garbage out. We should get a shield, instead, against all that data tsunami, and learn how to make gold out of garbage. Gold is understanding, being aware, in the end, leading in the Data Economy.

In the old times both memory and culture progress were preserved through books. Today, because of such a never-ending ‘Big Data’ process, we should first learn how to classify, validate and restore data in our systems. We should know how to use the most appropriate ‘sift technology’ which starts with ‘data mining’ and ‘data cleansing’, using a ‘heuristic intelligence.’

Before any ‘machine learning’ there must be first a ‘data learning’, and it comes with a ‘sift technology’, which is the result of decades of a world localized semantic learning. That’s been our main goal over the last 30 years: how to pragmatically create and keep updated the world’s largest system of etymologies.

Without such a sifting technology process (heuristic intelligence) to classify big data, AI will create chaos over chaos only. Big Data will mean another Big Babylon again, unless we are going to first and foremost mine and clean our daily big data turning mountains of garbage into a goldmine.

@pragmaetimos #marketing #datacleansing #webmarket #zeus #hera #geodata #personaldata #bigdata #webservice #dataclassification #globalization #international #ArtificialIntelligence