As stated by IBM, we are experiencing an explosion of the amount of data collected and exchanged within pervasive handheld devices, machine-to-machine communications, and online/mobile social networks.
Just to give you some numbers, according to research conducted by IDC, there were 1.8 zettabytes (1.8 trillion gigabytes) of information created in 2011 alone and that amount is doubling every two years. We create 2.5 quintillion bytes of data each day — so much that 90 percent of the data in the world today has been created in the last three years.
Facing such a huge volume of data recently and quickly generated, this creates a new challenge for mathematics. Why?
Without noticing, the world that we live today is fundamentally dependent on Mathematics . The Science Computing made a revolution bringing new Business modeling by discovering human needs, improving performance to processes, creating more inaccurate information (Most of the time ) and building a Flatter world.
But all that could not escape the same Base line.
This revolution was possible thanks to mathematicians as Von Neumann and Alan Turing who developed its theoretical aspects. The rest of this little history, you already know.
According to an article from Mathematical Recreations, the unstructured data won’t obey the same rules of the structured data, as they don’t have the same format, so the rules to process it cannot be applied.
It is hard to capture, store, manage, share, analyze, and visualize with existing data and processing tools, because this data is actually invisible to the computer today.
So, once again, the world is demanding new challenges to Mathematics and Science Computing. As the data volumes continue to expand as they take in a ever range of data sources, much of which is unstructured form, organizations are increasingly looking to extract value from that data to uncover the opportunities for the business that it contains.
It is not only about the code, neither only about the data flow, cognitive computing will provide to every application, product, process and service a kind of thinking ability.
It is not only a new concept, it is an evolution!
Welcome to a Cognitive era!
Determine what data you really need, which experts will manage the systems, where you must build more or less human engagement, which products, services, processes and operations should be infused with cognition, and which parts of the unstructured 80% of data you most need to focus make discoveries for the future.
Cognitive computing can ingest unstructured data in all its forms and transform it into real intelligence.
As a consequence, a deeper human engagement is one of the main advantages of this phenomenon, because, it follows the mode, form and quality each person is comfortable with.
For example, imagine a school using data on student performance and interactions, aptitude, learning style and constraints, plus a broad range of instructional materials, to develop experiences and curriculum tailored to each individual student in order to guide students toward appropriate post-school opportunities, elevating the student expertise and the school performance.
When looking at today’s state of the art technologies, we should remember that is all about mathematics. Cognitive Computing will be implemented at a universal level in the next years and will change with the world that we already know. Would be arrogant to say that a new science is growing? I don’t know, I leave it for the comments!
Although some people may say that there is nothing new in this subject, and they will be right. But in the exact moment, we are still a long way from understanding the scale of the revolution that is coming. One thing is for sure: this will be inevitable and will change the way that we confront problems today, as we put more variables in the situation, the “correct” answer is more difficult to achieve, so take some time to read about Cognitive Computing, it is worthwhile.
[Crédito da Imagem: Cognitive Computing – ShutterStock]
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