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

Things You Might Not Know About Machine Learning

Artificial Intelligence is already impacting the world in many ways. Many scientists have even compared it to the discovery of fire, although most of them differentiate the two on the creativity they need. While AI was a preserve of a few AI researchers and digital companies such as Google, Amazon, and Microsoft, that is no longer the case. AI has entered almost every industry, with nearly everyone now affected by this technology. Machine learning is one of the subsets of AI. It is based on algorithms that allow systems to learn on their own without relying on humans. 

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How Troubling is Artificial Intelligence?

Artificial Intelligence (AI) has been hailed as a revolutionary technology that will take the world to new heights. Experts claim that AI will revolutionize almost every industry and make human work easier, efficient, and less costly at the same time. Unlike the talks a decade ago where AI was just science fiction in Hollywood movies, this decade is becoming an era characterized by AI-driven automation and autonomous systems such as cars and other systems. With all these advantages, this technology is not without its drawbacks.

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IoT Takes Advantage of AI

Artificial Intelligence (AI) and the Internet of Things (IoT) are the two hottest buzzwords in the world today. The two, together with big data, dominate all tech conversations and business talks. But when people talk about the benefits of IoT, they often end up talking about what AI will contribute. The two always complement each other since AI’s intelligence is needed to transform the data collected by IoT devices into actionable insights that can be used for various purposes.

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