For starters, machine learning algorithms can make IoT data better suited for processing and analysis. Businesses can use trained algorithms to help in the organization and tagging of data.

“Machine learning is a critical component to developing Artificial Intelligence for IoT security,” says Uday Veeramachaneni, co-founder and CEO at PatternEx.

The Venn diagram above comes from the MIT Press book Deep Learning and it helps define how deep learning, machine learning, and representation learning are all apart of artificial intelligence.

Machine learning is key to analyzing the enormous, repetitious volumes of data flowing from vast, always-on IoT networks -- such as the 4,000 GB of data that each autonomous car will generate ...

The discussion about the scientists work caused him to reconsider the inextricable link between IoT and machine learning. Topics Spotlight: Advancing IT Leadership ...

One promising technology for IoT security monitoring and breach prevention is machine learning and behavioral analysis -- a branch of artificial intelligence (AI).. The AI technology being ...

Benefits of IoT and Machine Learning for Businesses - It Automates the Business Processes For any organization, whether small or large, there are a certain set of business processes.

Machine learning can have a greater impact on people’s lives when applied to the industrial internet of things (IoT) than in consumer applications, according to a machine learning expert at GE ...

(TNS) — The answer is machine learning, according to researchers at Missouri University of Science and Technology. Missouri S&T researchers want to ensure that Internet of Things (IoT)-collected ...

Hopefully, this problem can be addressed by the Internet of Things and machine learning, ... How IoT and machine learning can make our roads safer. Ben Dickson. 7:00 AM PDT · July 13, 2016.