Let’s first make the distinction between AI and Machine Learning. A very basic explanation of the differences between the two is this: AI is what a machine “becomes” (artificially intelligent) once it has learned the data it has been given. Machine Learning is the process of teaching a machine (AI) to learn. Here is an article in Forbes, written by Nicole Martin, which explains this in more detail.
Artificial Intelligence (AI) has become a part of everyday interactions. Anytime we hop on Google to perform a search we are interacting with AI technology. These interactions have been created through the process of teaching machines to respond to given criteria/data which the machine then, in turn, formulates educated (learned) responses to. Essentially the AI funnels the “exchange” through the best options available based on how the machine has been taught to employ/interpret the given data. And thus we have our daily interactions with AI via platforms like search engines, online marketing, etc.
In her blog post, Isabella Andersen, she explains the various other ways in which we interact with AI
These are some of the main avenues with which we are directly influenced by AI, however, here are some broader applications and trends being reported in 2019. In his article for Forbes, Janakiram MSV lists five AI trends to watch for in 2019.
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