Coming from a synthesis of cognitive science and based on the fundamental premise of simulating the human thought process, cognitive computing as a concept and its applications are sure to have far-reaching implications for our personal lives and industries such as healthcare, insurance, and more. The advantages of cognitive technology much outweigh those of conventional artificial intelligence systems.
The results of cognitive computing, a fusion of cognitive science (the study of the human brain and how it functions) with computer technology, will have far-reaching ramifications in our daily lives, healthcare, industry, and more. One such important fields of study is Medical Image Processing which has aided in advancing the healthcare industry.
Aug 3, 2022Tanaaz Khan
Sentimental Analysis — The Key to Changing Perceptions of Cognitive Computing in Marketing
When people think about data and computing, the first thing that comes to mind is Artificial Intelligence (AI). In the marketing sphere, AI has gained a considerable foothold, evident from the many SaaS products being launched. That being said, there is one aspect that is still amiss. Personalization. How can a company genuinely show that they care about their consumers when their products don’t reflect that? That’s where cognitive computing comes into the picture.
One of the most comprehensive amalgamations witnessed in recent times – cognitive computing, is a unique blend of artificial intelligence, natural language processing, machine learning, neural networks and other scientific disciplines. Essentially cognitive computing is an advanced framework that combines the aforementioned and uses computerized models to imitate the human thought process. Note however, that it is very different from proper AI-enabled systems – cognitive computing studies patterns and analyzes factors to help humans take a relevant course of action.
Cognitive computing technology, often known as artificial intelligence (AI), simulates human skills to extract fresh insight from large amounts of information and data. They then generate important, actionable intelligence at a large scale. Data and figures based on customer psychology are essential for successful marketing efforts.
In a world where more than 2.5 billion bytes of data are created every day, it is essential to deliver information to users effectively. Cognitive agents’ technology can understand human language to provide accurate information and quickly direct users to the optimal next step. Allowing cognitive agents to do the heavy lifting frees up human resources to tackle more extensive and more complex problems. This combination of technology helps humans produce a better user experience for everyone. As a result, advisors get the information they need to help clients resolve their inquiries faster.
IBM had been on the lookout for a new challenge since Deep Blue defeated Garry Kasparov in chess in 1997. In 2004, while having dinner with coworkers, IBM Research manager Charles Lickel realized that the restaurant had gone silent. He quickly uncovered the source of this nighttime lull: Ken Jennings, who was in the midst of his 74-game winning streak on Jeopardy! Almost the entire restaurant had gathered around the screens in the middle of the dinner to watch Jeopardy!
If you are a tech-enthusiastic, you indeed would have heard, “Cognitive Computing is the future.” Why? Because this technology mimics human behaviours. At present, almost all businesses are looking for a solution that can mimic their customer’s behavious because there is no value in the industry without customers. To acquire better insights into cognitive computing and its increasing role in business, we must understand certain aspects. So, let’s discuss why every business enterprise must reinvest in this technology, how they can reinvest in technology, and what they will get in return with a real case study.
Aug 3, 2022Utsav Mishra
Cognitive Manufacturing and The Beginning of a Revolution: The Start of Industry 4.0
Cognitive computing is the application of thinking, language processing, machine learning, and human capabilities to assist ordinary computers to solve issues and analyzing data more effectively. A computer system can handle complicated decision-making processes by learning patterns and behaviors and becoming more intelligent.
Aug 3, 2022Abhishek Mitra
Ultra-Precision, Super-Speed, Zero-Error Inspection; Cognitive Visual Inspection in Manufacturing
Cognitive Visual Inspection saw companies quickly matching industry 4.0 standards and having zero-defect products as the end result of manufacturing. Approved orders of products, reduced cost in inspection and increase in revenue with maximum clients satisfied is now becoming the norm with application of cognitive intelligent visual inspection.
Augmented reality offers immersive training without leaving the workplace; it also enables teachers to exhibit, demonstrate, and explain in novel ways.
Oct 30, 2021Bharggavi Ssayee
Automation and AI Perform Tasks That Once Required Our Cognitive Skills, But Can and Should We Delegate All of Our "Intelligence" to Them?
AI seeks to understand how human cognition gets interpreted by creating cognitive processes that mimic human beings. As a result, it has improved the speed, precision, and efficiency of the way we think and work.