Firms are increasingly feeding data collected by IoT sensors into machine-learning models and using the resulting information to change how they operate and the products and services they offer.

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 ...

The deployment of smart, connected sensors, combined with machine-learning-powered analytics tools, can enable us to gather information, make predictions and reach decisions that will make our ...

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 ...

With AI quickly becoming strategic, look for projects that can give you some quick business wins and help you gain the skills to apply machine learning more broadly.

I’ve been saying for a while that Microsoft is a lot more successful in these high-flying digital transformation projects involving IoT, cloud and machine learning than they tend to let on, and ...

The next phase of networking will depend on IT learning to wrangle modern technologies in ways that simplify operations and help humans make decisions, according to a new report by Cisco.

Splice Machine, a scale-out SQL database with built-in machine learning, is releasing Livewire, its new open source Operational AI platform for industrial IoT use cases. The Splice Machine Livewire ...

It enables on-device machine learning inference with low latency and a small binary size. This makes it ideal for applications where real-time performance is crucial, such as in IoT devices ...

The world of IoT is past the hype and into widespread adoption. Companies that got a head start in 2017 will now reap the benefits of a growing market in 2018.