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IoT need enhanced knowledge to fully monetize

Escrito por Redacción TNI el 23/08/2016 a las 19:51:32
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Starhome Mach, the global leader in mobile inter-carrier and M2M/IoT services, recently sponsored a survey of global operators, enterprises and analysts in their roles of service providers, users and experts in IoT connectivity.

 

Survey results from over 900 respondents show:

 

•             60% of respondents believe that today’s cellular networks are not fully prepared to support IoT

•             95% ranked visibility of IoT devices in the network as important in order to monetize information and maximize profits

•             90% considered device fraud to be a significant concern

•             Permanent roaming and malfunctioning devices were a concern for 88% of those surveyed

•             Adequate data analytics (90%) and quality of service (89%) were cited as the top cellular network challenges

 

“Even with the transition to LTE, many CSPs do not believe that the current cellular infrastructure can support all the demands of IoT,” says Keren Shemesh, Marketing Director at Starhome Mach. “They need solutions that can allow existing networks to better serve their enterprise customers.”

 

The survey singled out network identification as being particularly critical. It is impossible to protect networks and manage loads without a complete picture of network traffic and what to expect. Results also showed that increasing revenues and quality of service were tied as very significant cellular IoT network factors.

 

“CSPs require the ability to identify devices and their behavior, assure quality of service, and detect and act upon malfunctions and storms. These capabilities are crucial for operators to maximize revenues and provide value-added services to their enterprise customers,” continued Shemesh. “Starhome Mach has leveraged its decades of experience with device identification to create technologies that directly address these pain points, including providing service continuity for devices, and detecting and preventing fraud.”

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