The past two years has seen contact center as a service (CCaaS) go through unprecedented growth as businesses looked to enable contact center agents to work from home. For most companies, shifting to the cloud was a faster and simpler solution than trying to extend legacy, on-prem solutions to remote locations. Cloud contact center solutions generally have better tools for managers and are now being outfitted with AI to enable agents to service customers better.
The infusion of artificial intelligence (AI) into everything is literally changing our lives on a day-to-day basis. People use speech interfaces, purchase items based on recommendations, and sign into phones with facial recognition routinely because it makes their lives easier.
Business have been moving to a cloud operating model for the better part of two decades, but the term “cloud” has been continuously evolving. Early cloud deployments were akin to hosted services where a business would “lift and shift” a workload to an offsite location. For the past decade or so, cloud has been defined by public clouds, where businesses would deploy data and/or workloads in a hyper-scaler such as AWS, Azure, or GCP.
It’s only recently that digital twin technology has been implemented in software testing – and it’s offering some significant advantages.
The simplest definition of a digital twin is a virtual representation of an object or a system that uses real world data to create simulations, typically with the help of artificial intelligence and machine learning.
Juniper Networks today announced several new features and products that bolster its AI-driven networking capabilities. The company has extended its Mist technology to operate across the wired network, data center and, most recently, SD-WAN.