What is Cognitive Computing?


You’ve heard of Artificial Intelligence (AI) but that’s been around for decades. What about cognitive computing — is that a thing? The truth is, it’s a fairly new term that combines AI with areas like machine learning and natural language processing into one big melded area. It is not surprising to hear a new tech term here and there without knowing what it means. I mean, we used to have big chunky computers that you could barely lift, and today people use them for practically everything from taking classes to gambling online with the Meridian Kazino Promotivni Kod. Let’s take a look at what cognitive computing is and how it could potentially be useful to create an AI-based system for your business.

How does it work?

Cognitive computing is the next step in computing, and it’s changing everything. This is truly is a new way of thinking about computers—a new way of thinking about the way we interact with them. Rather than trying to make computers more human, cognitive computing is about making humans more like computers: using the power of logic, reasoning, and learning to solve problems faster and more efficiently than ever before. Cognitive computing is an umbrella term that covers a variety of technologies that all use artificial intelligence (AI) and machine learning (ML) to enable a computer or other device to learn from its own experience and knowledge base to make decisions on its own. These include natural language processing (NLP), neural networks (NNs), reinforcement learning (RL), deep learning (DL), fuzzy logic systems, artificial neural networks (ANNs), genetic algorithms (GAs), Bayesian belief networks (BBNs) and many other types of machine learning models. The most popular implementations of cognitive computing today are chatbots like Siri or Alexa.

Where is it being used?

Cognitive computing has been used in many different industries, including healthcare and retail. In healthcare, cognitive computing helps doctors make better diagnoses by taking into account a patient’s lifestyle and medical history. For example, if a patient has a history of heart disease, their doctor would be able to use cognitive computing to predict their risk for future heart problems based on data from previous patients with similar conditions and lifestyles. In retail, cognitive computing helps companies predict what customers want before they even ask for it. For example, if you often order pizza from Domino’s every Friday night at 8 p.m., the company will automatically send you an alert when your favorite pizza is available for delivery–and maybe even offer some coupons if you order within the next two hours.


Cognitive computing can solve complex problems without needing human input (or much human input). This means that it can help us tackle problems that require a lot of time or effort to solve manually. Also, cognitive computing can identify patterns in data that no one else has noticed before. This makes it possible for us to make better decisions faster than ever before.


It takes time for cognitive computing systems to learn how to do things like recognize faces or understand language (for example). This means they’ll need training before they’re ready for real-world applications. However, it is worth noting that this ground-breaking technology is certain to improve the quality of our lives in the long run, and I personally cannot wait to see more of it in everyday life!