A Duke University-based academic’s work on AR has its roots in a deep understanding of fog, edge, and cloud architecture.
Stories by Jon Gold
Data gathered by traditional building systems goes overlooked because it is formats aren’t compatible with data formats used by newer IoT devices, slowing the advance of smart cities.
Most IoT devices lack the computational power to carry out the level of machine learning necessary in truly smart IoT deployments, but they can act on the lessons machine-learning provides.
Researchers at the Medical PnP laboratory are looking to save lives through smarter, more interoperable healthcare technology using open standards, medical expertise and testing equipment that simulates health conditions to encourage easier integration of IoT devices and new sharing apps that can expand their capabilities.
Arm's new Pelion IoT Platform software handles management of devices, data and connectivity for corporate internet of things deployments.
The smart city of the future is a much-ballyhooed use case for IoT technology. But a new report from a consortium organized by researchers at Georgia Tech dives deeper into the specifics of business models and use cases for IoT.
Founded in 2014 by a group of high-profile technology and manufacturing companies, the Industrial Internet Consortium has since blossomed into a major player in the critically important world of IoT, helping to demonstrate how the new technology can apply to a variety of commercial and industrial fields. Network World talked with the group's president, Bill Hoffman, who discussed the long, strange journey of technology's relationship with industry.
From beer to boxes, an unheralded name in IoT technology has quietly leveraged its expertise in process monitoring and management to compete in a world dominated by Google and IBM, as well as high-profile operational tech firms like GE and Siemens. The PI System is the foundation of OSIsoft’s offerings, a structured data lake for real-time information that can let businesses hunt for trends and potential cost savings down in the weeds of machine-generated data.
Online Trust Alliance spells out best practices for testing, purchasing, networking and updating IoT devices to make them and the enterprise more secure.
Splunk is introducing software that enables pulling in information from industrial IoT devices and analyzing it
Microsoft says it will spend US$5B over 4 years on IoT - perhaps on products, infrastructure or acquiring IoT vendors - but it's not clear yet where the money will go.
A robot called HoneyBot, designed by researchers at Georgia Tech’s School of Electrical and Computer Engineering, can fool bad actors into believing they have compromised an IoT device and send alerts of the attack to hasten defensive response.
Tech companies of every stripe are staking their claim to the IoT, and networking vendors like Aruba are no exception. But to hear co-founder and president Keerti Melkote tell it, his company’s pitch might have a little more heat on it than others.
There are plenty of new capabilities that IIoT adds to operational technology – including remote management and operational analytics – but the number-one value-add so far has been predictive maintenance. Combining machine learning and AI with the deep pool of data generated by the flood of new IoT devices offers the opportunity to better understand how systems work, interact and can be kept up and running.
The Industrial Internet of Things, or IIoT, connects machines and devices in industries such as transportation, power generation, and healthcare. The potential is high and so are the risks.