Imagine a world similar to a science-fiction movie with robots and machines taking over the Homo sapiens race. Would that be exciting or scary? Well, machine learning algorithms and artificial intelligence are finally here to help and tackle corporates, leading organizations to tackle zeta bytes of data.
Though Big data has been touted as the biggest technology of the century, there is a problem seen in it. There are not enough skilled data scientists and analysts to manage the huge wealth of information. With the big data scenario evolving rapidly, the human race is unable to keep pace with the latest developments thereby creating a huge void in the analysis. Also, the highly advanced data platforms are lying idle and useless without experienced hands to manage and take over them.
Man Vs Supercomputers
Yes, intelligent supercomputing is the best answer for big data analytics thereby helping data scientists to breathe a sigh of relief from dealing with the enormity and complexity. With humungous data generated every day and this leading to a shortfall of skilled data scientists, cognitive computing looks to be the best feasible option. This would also keep pace with the future times relieving data analysts from the pressure of constant skill up- gradation. But this doesn’t limit the professionals from up-skilling themselves since handling big data and the smart computers require in-depth knowledge and proficiency.
Despite several avenues to produce skilled data scientists, the gap really looks huge and irreplaceable. Therefore this has led to the advent of training computes to perform the tasks and simplify the process a lot easier to manage data tools. This has led to the birth of a new technology arena called cognitive computing.
So what exactly is cognitive computing?
It is the building of self-learning systems that implement data mining, algorithms of pattern recognition and natural language processing –NLP models to simulate the same way in which the human brain performs the tasks. The aim of cognitive computing is to develop computing systems that can provide solutions to difficult problems without continuous human presence.
Cognitive computing and big data – The future road
Cognitive computing is a cutting-edge technology as it can enable handling of voluminous and complex data sets by less- experienced workforce. This will, in turn, produce a greater level of dynamism in the analytics world. Also with the application of NLP models, the process is becoming a lot easier to communicate with the computers. Hence professionals though not very adept at data analytics or processing are still able to communicate and interact with programs and big data platforms just the way human beings communicate.
The interaction is very much achievable through platforms enabled with artificial intelligence. Hence simple commands and regular communication are converted into data queries and answers too are obtained in a similar fashion. This indeed has led to a major wave of an advantage as anyone with less experience in big data can still operate and manage the data volume.
Examples of cognitive computing in the foray
Scientists and technology players have already designed a solution that implements artificial intelligence and machine learning algorithms. The DeepMind project from Google and Qualcomm’s Zeroth Platform are outstanding examples of this situation.
A highly proficient and advanced computer, DeepMind has been designed to simulate few of the human brain’s memory capabilities. Ideally, the computer has been built over a neural network framework and has been adapted to communicate with the external memory. The computer stores memories which can later be recovered and gain the understanding of new information and perform pre-programmed tasks.
Since DeepMind simulates the human brain, data scientists can easily depend on the information and commands that are processed. The supercomputer ideally makes a comparison of the data queries of the past and provides a response without a continuous oversight.
Zeroth cognitive platform
Qualcomm’s computing platform has been created to rely on the cognitive functions of the human brain. The supercomputer recognizes the auditory and visual signals and understands the entire situation. This is through a series of actions like object, handwriting recognition, and people identification. Hence this intelligent computer would automatically adjust its settings when exposed to an environment that has a lot of background sensitivity. For example, adapting and adjusting its audio settings in an area with a lot of noise and thereby delivering good audio output or adjusting its video settings while taking pictures in a sunny or dark environment. With an intuitive capacity to grasp the scenes and context, Zeroth platform when paired with the correct devices and image technology could gauge the emotions of people through their facial expressions and voice communications.
Finally, artificial intelligence or intelligent devices from cognitive platforms reduces the quantity of transmissions that go back and forth to the cloud. This also ensures that these super performing devices can save on power and progress with their performance, delivery, and privacy.
Undoubtedly the improvements in cognitive computing and application of AI algorithms and machine learning into big data tools and platforms are the best to happen in the big data world. This will not only facilitate the less experienced workforce to handle the complex part of data crunching and analytics but also greatly improve the delivery and quality of results. With enormous wealth of information to handle, transferring most of the work to such supercomputers will enable in smart working. This will provide an opportunity to address the data problems quickly and change real-time analytics into real-time decisions.
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