AI/MLCloudDevelopersEdge/IoTNews

Silicon Valley Tech Start-up Consortium To Accelerate Deployment Of 5G, Edge Applications

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Robin.io, Blue Arcus and KloudSpot have joined hands to combine the technologies needed to enable end-to-end 4G and 5G services and provide the much needed platform to accelerate the deployment of 5G and Edge applications. The solutions will halve the time-to-market and operating costs for evolving digital businesses at the Edge.

The unique consortium will bring together essential capabilities such as location aware, AI-led video analytics, surveillance, data analysis, hyper automation, network slicing, cloud-native application lifecycle management and hyperscale orchestration.

Kloudspot is a robust, network, IoT and cloud agnostic Location and Situational Awareness and Location Analytics platform that rides on the Network edge infrastructure. Kloudspot converts physical information of people’s demographics, footfall, path movement, activities as well as weather, room temperature and shopping activity into digitally processable data. Using AI and ML, Kloudspot provides experiential insights and reports into life-style, work space, health and safety, asset and infrastructure utilization that can be harnessed to enable data driven digital solutions for any industry.

To support the functioning of these digital applications, Blue Arcus offers a 4G/5G Converged core, providing a reliable, scalable and distributed autonomous network solution which helps mobile network operators and system integrators build their own network solutions to deploy use cases tailored for Consumer, IoT, Private/Enterprise Networks, Fixed Wireless, MEC and LBO networks.

Robin’s Cloud Native Platform (CNP) and Multi Data Center Automation Platform (MDCAP) deploys and manages complex applications ‘as-a-service’ in the cloud using the most advanced open-source Kubernetes platform. To help with delivering fast bare metal performance across a range of workloads, Robin’s Cloud Native Storage combines data management capabilities on Kubernetes.

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