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.
These Things Are Changing with Machine Learning
- Monday, 26 April 2021
Machine learning and artificial intelligence are no longer science fiction seen only in movies. They have evolved into some of the most influential technologies that touch almost any industry today. They are a driving force behind sectors such as autonomous driving cars, medical diagnosis, autonomous ships, and drones that are today part of a big plan to change militaries around the world. That said, there are many things in machine learning and artificial intelligence that we are yet to see. Here are some machine learning trends that will define 2021 and beyond.
Read more...Connect Your IoT Deployments to Machine Learning
- Monday, 05 April 2021
As the number of internet-connected sensors continues growing due to increased applications in cars, planes, buildings, and home devices, businesses generate vast amounts of data. According to a study, there will be more than 50 billion IoT devices in the world by 2025. This is up from 9 billion in 2017. With this significant rise in data, tapping it to extract useful information is becoming a big challenge that traditional methods cannot meet. This is where machine learning (ML), one of the subsets of artificial intelligence (AI), comes into place.
Read more...Things You Might Not Know About Machine Learning
- Monday, 29 March 2021
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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