Cradlepoint Integrates Machine Learning into NetCloud Service to Enable Wireless SD-WAN.
M2 EQUITYBITES-January 13, 2020-Cradlepoint Integrates Machine Learning into NetCloud Service to Enable Wireless SD-WAN
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Cradlepoint, the global provider of cloud-delivered LTE and 5G Ready wireless edge solutions, has announced new machine learning capabilities for its NetCloud Service, the company said.
Designed to assist retail, enterprise and government customers in managing large and distributed wireless WANs, the technology enables NetCloud to learn data usage patterns on wireless links to accurately project future usage and potential overages. As a result, organizations can virtually eliminate the risk of overages by proactively managing their cellular data plans across one or more mobile operators.
Retailers are connecting more people, places and things as they deliver new customer experiences within and beyond their brick-and-mortar stores. This includes next-generation display, marketing, shopping and loss prevention technologies as well as deployment of pop-up stores, kiosks and even mobile showrooms. These innovations are driving more cellular WAN endpoints, making it challenging for IT managers to plan and monitor data consumption. Cradlepoint's first implementation of machine learning within its NetCloud Service provides data plan consumption insights and intelligence that would be difficult to discover manually.
Cradlepoint is a major provider of 5G Ready wireless edge networking for LTE in the retail space and currently serves 75% of the world's top retailers, including David's Bridal and PANDORA Jewelry.
Cradlepoint is a global provider of cloud-delivered wireless edge solutions for branch, mobile, and IoT networks. Major service providers use Cradlepoint wireless solutions as the foundation for innovative managed network services. Founded in 2006, Cradlepoint is a privately held company headquartered in Boise, Idaho, with a development center in Silicon Valley and international offices in the UK and Australia.
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|Publication:||M2 EquityBites (EQB)|
|Date:||Jan 13, 2020|
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