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.

Of all the tech giants throwing their weight behind artificial intelligence (AI) and machine learning, few receive the kind of attention garnered by IBM. After its seminal Jeopardy win in 2011, IBM Watson became synonymous with technologies such as cognitive computing and AI. Upon losing to Watson, former Jeopardy champion Ken Jennings famously wrote "I, for one, welcome our new computer overlords" under one of his responses. All of a sudden, Watson was a household name, igniting conversations about what could be accomplished with AI. SEE: IBM Watson: The smart person's guide (TechRepublic) While Watson is a major part of IBM's approach to AI solutions, it's only a piece of the puzzle.

Should IBM be your AI and machine learning platform? Of all the tech giants throwing their weight behind artificial intelligence (AI) and machine learning, few receive the kind of attention garnered by IBM. After its seminal Jeopardy win in 2011, IBM Watson became synonymous with technologies such as cognitive computing and AI. Upon losing to Watson, former Jeopardy champion Ken Jennings famously wrote "I, for one, welcome our new computer overlords" under one of his responses. All of a sudden, Watson was a household name, igniting conversations about what could be accomplished with AI.

Of all the tech giants throwing their weight behind artificial intelligence (AI) and machine learning, few receive the kind of attention garnered by IBM. After its seminal Jeopardy win in 2011, IBM Watson became synonymous with technologies such as cognitive computing and AI. Upon losing to Watson, former Jeopardy champion Ken Jennings famously wrote "I, for one, welcome our new computer overlords" under one of his responses. All of a sudden, Watson was a household name, igniting conversations about what could be accomplished with AI. While Watson is a major part of IBM's approach to AI solutions, it's only a piece of the puzzle.