Service providers need to start preparing today for his emerging era of 5G and start improving their analytics and learning abilities.Ī large section of the service provider vertical is struggling with the even the basics of analytic capability.
The ask will come in the form of advanced data analytics, with the expectation of the ability of pin-point use of artificial intelligence, machine & deep learning, and of inferencing, using as input all the data flowing over the 5G networks. How will the service providers meet these customer expectations? To begin with, they must listen to what their customer are asking for. Customers will expect seamless service creation, acquisition, delivery, take-down, and re-launch – all at their own command and control – with each wave of the roll-out. Next will be providers of software, storage, and infrastructure, and everything else “as-a-service” providers. As 5G capable devices and infrastructure equipment becomes common (and thus cheaper), the next wave of adoption will come from connected service providers such as cable and consumer access providers. Mobile service providers will be the first ones to acquire and adopt 5G. The 5G technology is going to affect all forms of services in successive waves of change. The refrain has lately taken on a new tone, with the impending arrival of the 5G technology for delivery of connected services.īe it IoT, the Connected Car, the consumer last-mile, or the most common mobile over-the-top services, 5G promises to increase the data-deluge multi-fold, as much as it promises to improve the quality of service delivery, reduce the data access latency, and enhance the efficiency of the mobile infrastructure. “Service providers are struggling with enormous amounts of data” has been a common refrain of the past 5 years. Energy, Climate Action & Sustainability.Storage Automation & Developer Resources.Modern Storage for Kubernetes and Containers.Solutions for Microsoft Azure Stack Family.
0 kommentar(er)
