- January 20, 2019
- Posted by: admin
- Category: Uncategorized
IoT Expansion- The Internet of Things (IoT) is set to spread into every area of the enterprise over the next year, in order for that to happen it will need to start employing some of the newer, emerging technologies. This will be particularly true of Industrial IoT (IIoT) as more and more organizations start using the opportunities it offers to achieve business goals.
Frank Vella, COO of Information Builder, points out that with the emergence of smart cities and new manufacturing processes, for example, there is a growing need for large pools of data. This data will be used to build more efficient, broader ecosystems that provide proactive insights in verticals like manufacturing, health and safety. “AI [artificial intelligence], predictive analytics, IoT and blockchain are all technologies that require strong data capture and use. Consequently, the way data is accessed will change to enable broader visibility and create cohesive ecosystems that support a convergence of data access and provides better operational and predictive capabilities,” Vella said.
AI’s Key Role
AI has been gaining traction in the enterprise for the past three years, and now with the spread of IoT in the enterprsie, Derick Jose, co-founder of Flutura Decision Sciences and Analytics, said IoT–driven organizations will start using AI to solve IoT-based problems. “At Flutura, we see vertical AI problem solving, such as purpose built apps [designed] to solve a specific business problem really taking a foothold,” he said. “These are not generic AI algorithms; these are deeply specialized apps created to solve high impact problems.”
He said this has become so widespread in the enterprise that the company expects to see the first industrial marketplace completely powered by IIoT sensor fabric and deep learning algorithms emerge soon. This will also facilitate a new class of deep learning algorithms that can detect actions. These algorithms will detect a person plus the action the person is taking.
This “neural network” will just not identify a person in a video frame, it will also tag the person with an action such as, “person is falling down.” This kind of application can heighten situational awareness of adverse safety events in real-time when a human misses it.
This new kind of sensor will be a key driver behind IIoT and digital transformation in manufacturing. Sensors with wireless connectivity, RFID tags and smart beacons are already gaining substantial traction and will continue to spread, according to Michel Hepp, VP of global sales at Behr Technologies. These devices are game changing, she said, and will disrupt every part of the production process from development to supply chain management. Manufacturers will be able to prevent delays, improve production performance, reduce equipment downtime and manage inventory.
Wireless connectivity of remote sensors, along with aggregation and communication of groups of sensors will grow exponentially as a result. “Wireless connectivity that was either too expensive or not technically feasible is now possible and will connect these previous ‘islands of data’ to the enterprise,” she said.
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Article Credit: CMS Wire
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