1. Alfonso Pérez. Tel:

2. 4th Industrial Revolution.

3. Evolution or Revolution?
There are three reasons why today’s transformations represent not merely a prolongation of the Third Industrial Revolution but rather the arrival of a Fourth and distinct one: velocity, scope, and systems impact. The speed of current breakthroughs has no historical precedent. When compared with previous industrial revolutions, the Fourth is evolving at an exponential rather than a linear pace. Moreover, it is disrupting almost every industry in every country. And the breadth and depth of these changes herald the transformation of entire systems of production, management, and governance.
what-it-means-and-how-to-respond/

4. Cyber-Physical.
Previous industrial revolutions liberated humankind from animal power, made mass production possible and brought digital capabilities to billions of people. This Fourth Industrial Revolution is, however, fundamentally different. It is characterized by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies and industries, and even challenging ideas about what it means to be human.
The resulting shifts and disruptions mean that we live in a time of great promise and great peril. The world has the potential to connect billions more people to digital networks, dramatically improve the efficiency of organizations and even manage assets in ways that can help regenerate the natural environment, potentially undoing the damage of previous industrial revolutions.
However, Schwab also has grave concerns: that organizations might be unable to adapt; governments could fail to employ and regulate new technologies to capture their benefits; shifting power will create important new security concerns; inequality may grow; and societies fragment.

5. Components of the revolution.
Internet communications
Cloud computing.
Robots.
Internet of Things.
Artificial intelligence.
Computerscience,  mathematics, psychology, linguistics, philosophy, neuroscien ce and artificial psychology
Cognitive Computing.

6. Cognitive Computing:
Hardware and/or software that mimics the functioning of the human brain and helps to improve human decision-making. Includes:
machine learning
automated reasoning
natural language processing,
speech and vision
human–computer interaction
dialog and narrative generation and more.

7. Machine learning :
These analytical models allow researchers, data scientists, engineers, and analysts to "produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data
overcome following strictly static program instructions by making data driven predictions or decisions.

8. Automated reasoning:
These analytical models allow researchers, data scientists, engineers, and analysts to "produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data
Tools and techniques of automated reasoning include the classical logics and calculi, fuzzy logic, Bayesian inference, reasoning with maximal entropy and a large number of less formal ad hoc techniques.
Fuzzy logic has been employed to handle the concept of partial truth, where the truth value may range between completely true and completely false.
The critical point about Bayesian inference, then, is that it provides a principled way of combining new evidence with prior beliefs, through the application of Bayes' rule. (Contrast this with frequentist inference, which relies only on the evidence as a whole, with no reference to prior beliefs.)

9. natural language processing :
concerned with programming computers to fruitfully process large natural language corpora. Challenges in natural language processing frequently involve natural language understanding, natural language generation (frequently from formal, machine-readable logical forms), connecting language and machine perception, managing human- computer dialog systems, or some combination thereof.
Computer facial animation
Simulated reality

10. Speach recognition. I BM reached 5.5% ERROR RATE. March 2017.

11. Computer Vision.
Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions.[4][5][6][7] Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.
create-3d-objects-using-mobile-phone-cameras/

13. Human-Computer Interaction.
Old example: Graphical User Interface (Screen)
Current example: Touch capabilities with phones.
Near future: Augmented reality
Main article: Augmented reality
A common staple of science fiction, augmented reality refers to the notion of layering relevant information into our vision of the world. Existing projects show real-time statistics to users performing difficult tasks, such as manufacturing. Future work might include augmenting our social interactions by providing additional information about those we converse with.

14. Dialog and Narrative Generation.
Current, (spoken) dialog systems require the user to adapt to the system because the system is only able to understand a very limited vocabulary, is not able to react on topic changes, and does not allow the user to influence the dialogue flow.
How may I help you?
I'd like to get price information about a flight.
Where do you want to depart?
In Aberdeen.
Can you please tell me where you want to go?
Can you tell me something about Edinburgh?
Edinburgh is the capital city of Scotland, situated on the southern shore of the Firth of Forth. With a population of 482,640 [...].
Where do you want to go?
How is the weather in Edinburgh?
16°C.
Can you tell me where you want to go?
Okay, I want to go to Edinburgh on 26/04/2014.

15. Watson under the Hood.

16. Visual Recognition.

17. Personality Insights.

19. Watson tone analyzer.

20. Conclusion:
Customers get a more customized buying and service experience.
Smaller, much smaller inventories, less overstock, less unnecessary production.
Environment gets a breather.
One small problem: JOBS?
As a result of it we should get migrations and a whole reconstruction of what we call society, and maybe what it is that makes us humans.
Bill Gates partial solution: TAX ROBOTS.

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22. Alfonso Pérez. Tel: