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Industrial companies are using IoT solutions to better understand their operations and how their assets in the field are performing. The data their IoT solutions create help them to run their businesses more efficiently than ever before.
After many years in the wilderness, A.I. is back on the hype curve and will change the world again. Each IoT business and service will have to create a strategy for components or sub-services within the IoT offering to maximize success. A.I. is no different, it is another component that can assist in unlocking the value of data. The following article addresses this topic.
As AI offers the opportunity to manage the vast volumes of data generated from IIoT, its underlying architecture must enforce security and enhance visibility, for IIoT designers to future-proof deployments.
Chief Product Officer of BehrTech, Wolfgang Thieme, joins us to talk about BehrTech’s MYTHINGS connectivity platform and LPWAN’s role in the IoT space.
As IIoT matures it overcomes challenges such as lengthy cost and implementation periods, and looks beyond proof-of-concept towards proof of value.
Joe Biron, CTO of IoT Technology at PTC, shares his thoughts on future-proofing IoT solutions in industrial IoT.
Manufacturers are implementing Industrial IoT (IIoT) devices to leverage predictive maintenance, data analytics, and more.
the industrial internet of things (IIoT) market is expected to reach nearly $950 billion in the next five years. From asset tracking and automation to predictive maintenance and improved security, the industrial internet of things is proving more and more impactful across a wide spectrum of use cases. Explore some of the top companies for each use case.
Sewio, a UWB-based real-time location system (RTLS) vendor, has released its latest infographic: Industry 4.0: Expectations vs. the Reality about Digital Transformation Using Indoor Tracking Services.
While the typical Industrial IoT demo uses gleaming new equipment, most of this country's working industrial assets are years and even decades old. It doesn't make financial sense to replace expensive equipment still performing its function, but managers want to gain the monitoring and analytics advantages of the IIoT. What needs to be considered before attempting an upgrade?