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Intel IoT Insights Day 2015: Big Data’s Big Impact on Internet of Things
DAVID MCKINNEY | March 1, 2016
MobilePundits is a leading provider of pioneering Enterprise Digital Transformation solutions to mobile start-ups, emerging wireless companies and mature organizations alike.
Article | April 15, 2020
As consumer demands evolve, fleet managers are turning to IoT to deliver products faster and more efficiently. The progress being made in edge computing represents the full potential of IoT: the power of data on the move. However, operating on the edge also reveals some of IoT’s greatest challenges: maintaining network security as the number of endpoints multiplies; rethinking traditional business models as industries become increasingly interdependent; and, perhaps most importantly, establishing a seamless, reliable network across borders, cultures, and regulatory environments.
Arm wants to help IoT and other embedded devices to think for themselves. Today the company unveiled two chips designed to eliminate the reliance on cloud-based artificial intelligence (AI) by delivering machine learning (ML) capabilities right on the device.“Enabling AI everywhere requires device makers and developers to deliver machine learning locally on billions and ultimately trillions of devices,” said Dipti Vachani, SVP and general manager of Arm’s automotive and IoT line of business, in a statement. The Cortex-M55 processor is the company’s first to leverage the Armv8.1-M architecture and features Arm’s Helium vector processing technology, which is designed with ML and digital signal processing in mind.
Low-power wide-area networks (LPWANs) are helping drive the Internet of things (IoT) explosion. They connect millions of low-power IoT and Industrial IoT (IIoT) devices into wireless networks over a range of distances, from short to really, really long, from indoor applications to those covering large fields or even cities. But device designers using the LoRaWAN standard may be lulled into thinking that just configuring its security keys is enough to prevent their devices from being hacked. A new report says it isn’t. Four protocols give enterprises a choice in LPWAN connectivity: cellular NB-IoT, LTE-M, and Sigfox, and the non-cellular LoRaWAN standard. Among these, the open LoRaWAN overwhelmingly dominates. Omdia (formerly IHS Markit – Technology) projects a “quite high forecast” for LoRa, said Lee Ratliff, senior principal analyst, connectivity and IoT.
As the industrial IoT market continues to expand at rapid rates, companies across the world are reaping the benefits. Utilizing this growing network of tools and systems, businesses have been able to prevent costly downtime, decrease product development costs, enhance customer engagement and satisfaction and acquire and implement intelligent data for strategic planning purposes.The potential benefits are seemingly endless, and the list of organizations that are embracing this industrial revolution is continuing to grow, so let’s highlight some of the main IIoT companies you need to know for a number of the most common IIoT use cases.
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