There is a lot of information out there about AI: what it is, what it’s not, and multiple definitions that fit different contexts and markets. This short, easy-to-digest explanation is based on thorough research and understanding of the field: “Simply put, artificial intelligence covers a broad range of evolving technologies that combine stats, data, and modern computing power to transform human potential.” This explanation draws from a variety […]
There is a lot of information out there about AI: what it is, what it’s not, and multiple definitions that fit different contexts and markets. This short, easy-to-digest explanation is based on thorough research and understanding of the field:
“Simply put, artificial intelligence covers a broad range of evolving technologies that combine stats, data, and modern computing power to transform human potential.”
This explanation draws from a variety of definitions, including:
First, intelligence is hard to define, so artificial intelligence is even harder. Definitions of intelligence exist, but the term is used in a variety of contexts and not always in the same way.
Second, how people use the term and what they mean by it changes over time. For example, is using the current traffic flow to calculate the fastest route home artificial intelligence? It is a form of AI, but it is so commonplace today that many people don’t consider it to be.
Third, people use many terms synonymously, like artificial intelligence, augmented intelligence, machine learning, deep learning and data science. It can be very difficult to establish a shared understanding of all these terms.
Here at Excella, we are focused on identifying creative technology solutions that will solve business problems – and this includes using AI.
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