Cognitive computing has taken the tech industry by storm and has become the new buzzword among entrepreneurs and tech enthusiasts. Based on the basic premise of stimulating the human thought process, the applications and advantages of cognitive computing are a step beyond the conventional AI systems. According to David Kenny, General Manager, IBM Watson – the most advanced cognitive computing framework, "AI can only be as smart as the people teaching it." The same is not true for the latest cognitive revolution. Cognitive computing process uses a blend of artificial intelligence, neural networks, machine learning, natural language processing, sentiment analysis and contextual awareness to solve day-to-day problems just like humans.
Cognitive Computing refers to the technology that is based on the scientific principles behind artificial intelligence and signal processing. It revolves around making computers adept at learning the human brain. As the use of AI is just to implement the best algorithm to solve a problem, cognitive computing goes a step beyond and tries to mimic human intelligence by assessing a series of factors. IBM's Watson is the most advanced cognitive computing framework which utilizes AI-powered disruptive technologies such as machine learning, real-time analysis, NLP, among others, to enhance decision making and deliver better outcomes. According to IBM that defines cognitive computing as an advanced system that learns at scale, reasons with purpose and relates to humans in a natural form.
Disruption ahead: Deloitte's point of view on IBM Watson8 9. What makes Watson unique In technical terms, IBM Watson is an advanced open-domain question answering (QA) system with deep natural language processing (NLP) capabilities. At this point, the Watson Software as a Service (SaaS) platform is most effectively used to sift through massive amounts of text--documents, emails, social posts, and more--to answer questions in real time. Watson accepts questions posed by the user in natural language and provides the user with a response (or a set of responses) by generating and evaluating various hypotheses around different interpretations of the question and possible answers to it. Unlike keyword-based search engines, which simply retrieve relevant documents, Watson gleans context from the question to provide the user with precise and relevant answers, along with confidence ratings and supporting evidence. Its learning capabilities allow Watson to adapt and improve hypothesis generation and evaluation processes over time through interactions with users. Developers and other users can improve the accuracy of responses by "training" Watson. IBM is also continuing to expand Watson's capabilities to incorporate visualization, reasoning, ability to relate to users, and deeper exploration to gain a broader understanding of the information content. Watson recently launched a new platform service that has the ability to ingest and interpret still and video images, which is another significant type of unstructured data.
Human thinking is beyond imagination. Can a computer develop such ability to think and reason without human intervention? This is something programming experts at IBM Watson are trying to achieve. Their goal is to simulate human thought process in a computerized model. The result is cognitive computing – a combination of cognitive science and computer science.
Siri, Cortana, Alexa, Watson, Bixby, Viv, M, Google Assistant and the list goes on and on……. Along with all the above personal assistants in the real world, one of the most famous personal assistants of 21st century is the one and only'Jarvis' from the movie'Iron man' & 'Avengers', big ticket projects from the Marvel Cinematic Universe. The sheer concept of a personal assistant facilitated by technology is groundbreaking and similar is the stature of breakthrough technology which has been leveraged to accomplish it, which goes by the name of, Cognitive Computing. Cognitive Computing was used for the very first time by IBM. It developed Watson, a unique response-capable computing system, which was built to compete against humans on the popular game show called, Jeopardy.