Scott Koegler

Scott Koegler

Scott Koegler is Executive Editor for PMG360. He is a technology writer and editor with 20+ years experience delivering high value content to readers and publishers. 

Find his portfolio here and his personal bio here

The Real Difference Between Machine Learning and Artificial Intelligence

Artificial Intelligence (AI) and Machine Learning (ML) are some of the closely linked terms in the field of computer science. They are among the most trending technologies used when talking about intelligent systems and big data. These terms are often confusing, and most people interchangeably use them.

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AI is Moving to the Edge

Edge computing has attracted a lot of interest and new use cases, especially with the rising adoption of 5G. According to the report by the Linux Foundation titled The 2021 State of the Edge report, the global market cap of edge computing infrastructure is expected to be worth more than $800 billion by 2028. Companies are also investing heavily in artificial intelligence, with a McKinsey survey of 2021 showing that 50% of the respondents have already implemented AI in at least one business function. Here are the developments in edge AI and how it will impact modern enterprises.

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AI Is Expanding into Art  

New technologies like artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT) are changing different industries for the better. AI, for example, is altering the creative landscape, and industries like music, fine arts, science and architecture are getting the best out of it. Computational creativity, a study of building software with behaviour deemed creative, has become one of the fast-growing areas of technology over the past two decades. This software can be used for creative tasks like writing poems, composing music or painting pictures. 

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