How Artificial Intelligence really works
Computing systems of the past have operated in predictable environments using structured and uniform data to perform prescribed operations, now we have cognitive computing systems which are much more adaptable and similar to a human brain, can understand the reason and learn. These systems can read vast
amounts of unstructured data and use it to spot connections and patterns in new ways offering insight into all kinds of human expression.
Cognitive systems are built on several underlying technologies let’s take a look at two:
1) Natural Language Processing (NLP) starts with understanding, this system needs to understand human language in context as opposed to structured tables. This natural language processing pulls information from articles, research reports, emails, tweets, even images and sounds to identify the significant grammar context and vocabulary that carry core meaning.
2) Machine Learning, a technique in which the system spots connections between a particular pattern and the most likely outcomes. The system receives feedback from regular use so it learns from every interaction. Each prediction it makes whether right or wrong is taken into account for the next prediction until it can reliably spot the meaningful patterns through all the noise.
With these technologies a cognitive system doesn’t offer one definitive answer instead it is designed to weigh the information and ideas from many sources reason and then offer rationales for its conclusions. this makes it more than just a tool that enables you but a trusted advisor.
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