The field of cognitive computing continues to grow rapidly, best represented by IBM’s Watson platform. Cognitive computing includes elements of artificial intelligence (AI), machine learning and signal processing. It generally requires a large amount of processing power and software with learning capabilities. There are a number of important considerations about this technology.
Cognitive computing is used for a variety of different purposes. One popular use that is spreading wildly is for natural language chatbots and virtual assistants. These learn natural ways to respond to questions and find the best possible answer when humans answer them. Another important use is for cyber threat detection. AI software learn the rapidly evolving hacking techniques and pro-actively take steps to defend the network without any manual intervention. There are a number of other uses in the areas of medicine, finance, law and other areas.
New Solutions and Products
Cognitive solutions continue to evolve and transform. Companies like IBM, Amazon, Apple, HP, Google, Microsoft and others are creating powerful new features. The most common use is natural language processing. This has evolved into products like Amazon’s Echo, Microsoft’s Cortana, Apple’s Siri, Google HomePod and others. These devices and software have a deep database that is constantly evolving based on the input from tens of millions of users. Over time, they become more sophisticated and useful at answering questions, providing services and organizing information.
This technology will continue to make more significant advances. Right now, scientists are using cognitive computing to try to predict ground breaking medical formulations. This will hopefully radically reduce the time and money required to create a new drug to cure disease. Physicists are also using this technology to compress huge amounts of data gathered from observing the universe. They are hoping the AI can make insights on the origins of galaxies, composition of dark matter and many other questions.