Cognitive computing and its arrival to revolutionize technology

The technological leap that awaits us in the next decade has begun today, and companies must begin to become familiar with cognitive computing or cognitive computing, and how it is different from and similar to other concepts.

Cognitive computing refers to technology platforms that are broadly based on the scientific disciplines of artificial intelligence and signal processing. That is, it is the simulation of human thought processes in a computerized model. It involves self-learning systems that use data mining, pattern recognition, and natural language processing to mimic the functioning of the human brain.

The goal of cognitive computing is to create automated computer systems that are capable of solving problems without the need for human assistance.

The start of it all, IBM Watson

In 2011, IBM introduced Watson, the first computer based on cognitive computing, to the famous television program Jeopardy, one of the most complicated in the world.

The challenge of this computer was not only to know the answers to any question, but also to be able to capture such human things as irony, sarcasm, metaphor, linguistic twists and a sense of humor. Watson overwhelmingly won the contest, exposing the new world based on big data.

What are the components of its ecosystem?

Cognitive computing is capable of learning based on the interaction we have with data, becoming a machine capable of processing, analyzing and understanding information in fields as diverse as literature, medicine or art. This technology manages to imitate the functioning of the human brain to execute and recognize voice commands, not only by words, but by their tone.

This discipline goes far beyond chatbots. It seeks to improve decision-making through powerful hardware-software processes that replicate the functions of the human brain in terms of:

  • Learning
  • Communication
  • Reasoning
  • Stimulus process

It is based on different resources from AI, it also relies on auxiliary technologies to bring its processes to the highest level of performance and efficiency and has the following components:

  1. Chatbots
  2. Discovery
  3. Image
  4. Voice
  5. Sentiment
  6. Personality
  7. Blockchain
  8. Internet of the things
  9. Big Data
  10. Robotics Process Automation

The main cognitive computing platforms

  • Amazon Web Services: possibly the largest of all and from which services such as Alexa, Amazon’s voice assistant, have been born.
  • Google Cloud: specially indicated for the treatment and recognition of voice, text management and image treatment.
  • IBM Watson: Based on the original system, it offers visual recognition of people, conversation, text translation and tone of voice recognition.
  • Microsoft Cognitive Services: based on vision, speech, knowledge and search for solutions.

In companies there are many ways to apply cognitive computing and it will depend on the line of each one.

The time will undoubtedly come when this frontier between the human and the computational will be fully united.

Nowadays, people are beginning to talk about “affective computing”, and perhaps one day “existential computing” will emerge, but it is clear that cognitive computing is by itself great news for humanity, because it inaugurates a new stage where AI is called to be an ally to make a better world.

*The author is an expert in Innovation.

Javier López Casarín

Innovation Expert

Guest column

Strategic entrepreneur, innovator and agent of change committed to his country and reinvention through his projects. He has a long history in the business world in the financial, telecommunications and technology sectors as well as in the field of social promotion, which has allowed him to develop methodologies for the identification, analysis and effective solution of current challenges.

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