But most of all: security is becoming more pro-active and technologies to predict cyberattacks before they even happen are in high demand. Cognitive technology is a subset of the broader field of artificial intelligence, which itself could be considered a subset of biomimetics. They both have the ability to help machines perform more intricate and diverse functions, but the distinction between the two deals with the role of humans in the process.The biggest fears involve machines replacing humans, and to some degree this has already happened. Artificial intelligence is not a technology. These are again various – and ever more – sets of technologies and technological innovations that drive digital transformation and all of them are inherently integrated with artificial intelligence and in reality some are even close to synonyms of AI.It’s clear that artificial intelligence is indeed not new but has changed a lot and gains more attention than ever. AI, however, is also a security concerns. They both involve the concept of electronic devices and systems learning, and having the ability to make choices. While both concepts involve smart machines, one is more results based, while the other focuses more heavily on the process.To those who have little understanding of these concepts, they both may seem to represent the same thing.
Without AI there isn’t that much to do with data to put it simply. The solution: AI. Cognitive Intelligence, as well as being a part of Artificial Intelligence, is an area that mainly covers the technology and tools that allow our apps, websites and bots to see, hear, speak and understand the needs of the user through natural language.
Cognition, which involves learning from perception and making decisions accordingly, can augment and improve the human thought-process. Deep learning, a form of machine learning, is certainly part of that and by the time you read this we’ll have new developments as things do speed up.We already mentioned Big Data in that context: ever more unstructured data. Artificial intelligence: making computers do intelligent things. Artificial intelligence is already present in plenty of applications, from search algorithms and tools you use every day to bionic limbs for the disabled. One example of this is the debate concerning cognitive computing vs. artificial intelligence.AI has many applications, ranging from analyzing records and picking out important pieces of information to helping autonomous drones operate safely with no human at the controls. While both would solve the problem if they were programmed properly (the problem in this case being refining accounts) they would do it in different ways.The difference between the two lies not only in their design, but the way humans tie into the concept of smart machines.Things can get mislabeled in discussions of emerging techs. IBM frequently uses the term "cognitive computing," which is more or less synonymous with AI.
It’s also common for terms to be used interchangeably, even when there is a distinction between them. The cloud, mobility, social business and collaboration… That analytics part is so important that IDC has called the Big Data pillar the Big Data/Analytics pillar.
But in a situation where AI and cognitive computing would be used in the same application, what would be the difference?Cognitive computing vs. artificial intelligence is a debate that will likely gain more attention in the future.
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