Artificial Intelligence and Cognitive Computing are often used as interchangeable terms, and as much as both refer to machines with human-like capabilities, there are some big and important differences. AI is talked about abundantly, and equally abundant are the definitions with which we want to describe this discipline. In synthetic terms, it could be said that with AI we try to make computers able to do things that the human mind can do. Some of these, such as more or less sophisticated forms of reasoning, are normally considered as belonging to the field of intelligence, while others, for example computer vision, are not in the strict sense of the word. In each case there is the involvement of psychological skills, such as perception, association, prediction, planning, motion control, which allow humans and animals to achieve their goals, whatever they are. Among the many possible definitions of Cognitive Computing, one is particularly emblematic, if only for its generality that brings little in the way of information content: the use of computer models to simulate human mental processes in complex situations where responses may be ambiguous or uncertain.

Artificial intelligence (AI) and cognitive computing can work together closely by connecting technology with the physical world. The concepts of AI and cognitive computing are deployed widely in various sectors. AI and cognitive computing can self-learn and adapt to new surroundings. However, there is a slight difference between these two technologies. AI creates devices that can act smarter than humans, whereas cognitive computing creates devices that adapt to the surroundings and communicate with humans naturally.

The financial services industry has seen an increasing adoption of digital technologies to improve its business processes more than any other industry. This entanglement of technology continues with the introduction of cognitive technology in finance. The numerous applications of artificial intelligence in the finance industry is already providing numerous organizations -- both banking and non-banking ones -- with unprecedented levels of automation and efficiency. And the results are already inspiring many a finance CIO to adopt more applications of the technology for further enhancing their operations. However, despite the value added by the different AI applications in finance, the existing applications only scrape the surface of the huge potential held by AI technology. However, that does mean that businesses are not using enough intelligent technologies; it's just that the technologies used by them are not intelligent enough.

Cognitive computing and artificial intelligence are trending in the world of Supercomputing. In this era of digitalization, we are all considered about the 4Cs: Consistency, Convenience, Content, and Contextual. To know the difference between an AI-powered platform and Cognitive powered platform is important for any business. The concept of Artificial intelligence is with us for quite a long time now. Artificial intelligence is a really big term which has now become the reality of our lives.

Knowing the difference between a platform powered by AI and one powered by cognitive computing is the key to deciding which is the best for your business. IBM's Watson cognitive computing platform might be going through a defining time right now, and part of that seems to do with a small-but-complex question: What is the difference between artificial intelligence (AI) and cognitive computing? It's an important question for any company and any system that's working within this sector, as our assumptions about these two terms define how we respond to the emerging and existing products that claim to do one or the other. If you don't know the difference between a platform powered by AI and one powered by cognitive computing, and what the implications of those differences, how can you decide which is the best for your business or your application? Artificial intelligence agents decide which actions are the most appropriate to take, and when they should be taken.

Cyber criminals are quite adept at stealing data, money and privacy. No network is off limits as they exploit any point of weakness they find in businesses, homes, institutions, automobiles, utility networks and other portals. And their tactics evolve faster than security professionals can manage them. The question is, can we leverage technologies such as artificial intelligence (AI) and cognitive computing to win the war against cyber criminals? Cybersecurity experts shared their thoughts on this topic.

Cyber criminals are quite adept at stealing data, money and privacy. No network is off limits as they exploit any point of weakness they find in businesses, homes, institutions, automobiles, utility networks and other portals. And their tactics evolve faster than security professionals can manage them. The question is, can we leverage technologies such as artificial intelligence (AI) and cognitive computing to win the war against cyber criminals? Cybersecurity experts shared their thoughts on this topic.