Cognitive technology aims at the learning capacity of the human being himself, and in case of developing successfully as expected, be an inexhaustible source of new business models.
Scope of Cognitive technology
If we have to give an understandable definition, that is what we are talking about, we can define cognitive technology that seeks to improve the interaction between man and machine through natural language.
The problem lies in the complexity of the language of the adult human being. It is complex, very extensive and full of rules and exceptions that do, or did, very very difficult to be understood by the machines.
The simplest and most refined part of cognitive technology was achieved a few years ago. Thus, the TTS or Text To Speanch have been working for several years and overcoming great barriers of intonation increasingly refined. The technology against this, the STT or Speach To Text although it is true that it is not so clean, it has overcome many difficulties and is in a very mature state as demonstrated by Apple’s own SIRI.
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However, cognitive technology or Machine Learning does not stop in TTS or STT, but it aims a machine to be able to understand what that tells a human natural language processing such information, and provide an intelligent answer . THIS IS REALLY COMPLEX, but it’s what many software developments are looking to fix like the grail.
Where is the problem?
In intelligence. We could say that the machine already hears and speaks, but we all know that to have communication there has to be a processed and intelligent message (something that does not happen many times between colleagues and having a beer … :)).
This intelligence comes into play as powerful technologies as the Big Data, and at the same time, a process as natural as training. Machines must be trained in language and conversation to provide intelligent answers.
According to Gartner , the technology Machine Learning has already passed its moment of maximum expectation, and in a few months we will see if you have enough strength to stand and cross the valley of disappointment.
Is it a big or small business?
It’s a business of two. Among others, IBM has announced the creation of the first consulting unit on the market dedicated to helping companies transform their business into a “cognitive” model. The new unit, called IBM Cognitive Business Solutions , uses exclusive technology IBM cognitive, clustered around Watson and experience in business analytics.
Thanks to Watson’s computing power and IBM’s cloud technology that supports it, many small entrepreneurs and Startups can develop learning technology.
What I am talking about is that a business model is to train a learning engine for different sectors, such as tourism, so that the technology is able to tell me suggestions based on one or two sentences to my mobile. I am referring to small Startups can create cognitive engines of attention to customers and be able to offer real and intelligent solutions.
In addition, behind that learning offered as solutions Cloud, can begin to create other multitude of applications that have as source that analytic to develop applications B2C.
The possibilities as always are immense, it seems that opens a new temporary window of opportunity, and although it is true that there is chaos, it is in those moments of chaos when the great business opportunities appear. Why do not you just let go of your mint and think about apps? Surely you have already occurred several.