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The marketing AI field is constantly growing and developing, so we thought it would be appropriate to extend our glossary so you can have an enhanced understanding of AI marketing terms. You can find our super-basic AI glossary terms here. This post gets a bit deeper into the inner workings of what AI is and does as well as some terms that describe situations that have come about as a result of AI systems.
An interactive experience of a real-world environment, where objects that exist in the real world are enhanced by computer-generated perceptual information. An example would be using the Warby Parker app to try on different types of glasses virtually.
Automated tools for answering human questions. Many websites now have chatbots installed to answer routine questions. This creates an efficiency for humans to work on more important tasks.
Storage and processing is now on digital servers hosted at data centers operated by internet platforms. People can store information and process data without being in close proximity to the data center. A simple definition would be delivering different types of services over the internet. These services could be accessed by any device, anywhere.
Computers that develop knowledge based on pictures or videos. It can be used to analyze satellite images, human faces and video imagery.
Digital images and audio that are altered or manipulated by AI and/or deep learning to make someone say or do something they didn’t actually say or do. It is increasingly difficult to distinguish between these artificially created items and real video or images.
Technologies that can be used for good and ill. For example, a facial recognition system that could be used to find missing children could also be used for mass surveillance. The creators of a technology are never the best judges of how that technology will end up being used. This creates a need for ethical parameters around how these systems are used.
A technology that can identify a person based on an image or a video.
Fifth generation wireless networks in major cities that enable faster speeds and increased capability for sending data and images. This enables new technologies such as autonomous vehicles and automated factories.
Computing systems loosely modeled on biological neural networks in the human brain. This allows computers to learn in layers and become smarter and gain deeper knowledge and make associations, just as a real brain would.
The ability of AI systems to recognize patterns and regularities in vast amounts of data. An example would be an email client’s ability to recognize whether or not an email should be classified as spam.
The ability to store and process information using individual atoms, ions, electrons, or photons. A regular computer stores information in a series of 0’s and 1’s. These are called bits. A quantum computer doesn’t use bits, but something called a qubit.
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