Cognitive computing has been receiving a good deal of attention lately as more companies have been building intelligent agents. Ever since IBM Watson’s 2011 appearance on Jeopardy, cognitive computing has spread into healthcare, investing and even veterinary medicine. However, it is only recently that cognitive computing has spread into government applications. As the name implies, cognitive computing is where computers operate much like the way people think. Computers use data mining techniques, pattern recognition algorithms and natural language processing to search a large set of unstructured data to find solutions.
Natural Language Generation
For the past several weeks, I have been inflicting you with my recent dive down the rabbit hole of natural language generation and the larger discipline of natural language algorithms. Most of the focus has been on the power of natural language generation and how it can help you rapidly produce content on a wide array of topics in an easy to read format with little effort on the part of a human.
In the span of two days, I received as many emails from respectable content marketing blogs worrying about the dangers of machines taking the jobs of bloggers and other content creators. The man vs. machine dynamic has existed since the dawn of the industrial age, but is it finally reaching the point where a technology called Natural Language Generation (NLG) can replace humans in one of their last refuges?