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.
The IT pro’s job today is significantly more difficult than it was just a few years ago. IT complexity has grown disproportionately, even as we’ve seen slower budget and staffing increases. At the same time, digital transformation projects need staff time.
Many technology vendors have used artificial intelligence to transform their products. This is evident in areas like unified communications, contact centers and cybersecurity.
Yet one area of IT that has yet to see AI play a significant impact is the network. AI has been used to improve basic management functions but has yet to transform network operations.
Over the last decade, a generational shift has taken place in the enterprise: the move from on-premise data centers to the cloud.
Organizations continue to face the same issues they have always faced in networking, but with much less control due to the distributed nature of data, applications, people, and devices.
This week Extreme Networks held its Extreme Connect event in Nashville. This is the company’s annual user conference, highlighting the latest and greatest in the company’s efforts to innovate.
Extreme has been on an interesting, multi-year journey as the company has grown through aggressive acquisitions. Much of its research and development efforts have focused on bringing the portfolios of core Extreme together with the businesses it has purchased, such as Avaya Networking, Brocade Data Center, Motorola Wi-Fi and Aerohive.