Hybrid work solutions. That’s a term that can make network administrators a little queasy if their hybrid workforce is consistently submitting IT support tickets for one common issue or another. Granted, the term “hybrid work solutions” was never really tossed around IT departments until just a few years ago. Now, it is the new standard for both your established workforce and those applying to vacant positions.
WEI recently had the pleasure of hosting a virtual conversation about Artificial Intelligence (AI) and its critical role in digital transformation and the intelligent network. This eye-opening exchange was led by Linda Bernardi, a professional speaker, author, corporate consultant, and innovative disruptor. In her 40-minute discussion, Linda touched on the power that disruptive technologies are having across the business spectrum. She presented an actionable blueprint outlining the proven AI strategies that companies should be implementing to succeed in this new age. Linda’s bold ideas centered around the need to rethink many of the traditional progressions that restrict our thinking, and ultimately, our success.
In today’s multi-cloud era, desktop virtualization is at the top of the list of IT priorities for organizations of all sizes. Business leaders wish to deliver virtual desktops and applications that offer the flexibility to respond to rapidly changing demands without the complexities associated with managing on-premises infrastructure.
There’s nothing worse than an investment that doesn’t pan out. Whether it’s hardware or software, a solution that fails to meet expectations, or wastes time and resources, stifles your enterprise’s ability to do business. For these and many other reasons, IT organizations have turned to “as-a-service” models, which lower the burdens and risks associated with new solutions. Get ready for the next aaS offering: Network-as-a-Service with HPE GreenLake for Aruba.
The cloud has revolutionized the way enterprises do business on every level. For IT, cloud brings some complexity to network operations and infrastructure management.
In today’s technology-focused world, the foundation of a business’ digital presence is its network. From the top executives to the newest intern, your enterprise and the people that work with you depend on your network to do business. If your network performance isn’t providing the connectivity and bandwidth your employees need to be productive, your business will suffer.
As a result of advances in digital technologies, such as software-as-a-service (SaaS) and other tools with increased traffic demands, many IT teams are now in the process of replacing outdated WAN infrastructures that can’t keep up with modern requirements. The latest solution is software-defined wide area networking (SD-WAN).
The concept of intent-based networking is indeed an evolutionary leap in how we design, manage and maintain the enterprise networks of today. Gartner a while back actually coined the phrase of IBN. Rather than relying on manual intervention, intent-based networking incorporates AI and machine learning to automate administrative tasks and functions.
We keep hearing about all of these wonderful technological advances that seem to never come to fruition. How many decades have we been waiting for the hovercrafts and flying cars we saw in cartoons and movies? We still haven’t cured major diseases yet, let alone the common cold. If you’re an IT administrator, you probably keep wondering when all this automation we’ve been promised is going to finally take place. You know, that magic automated tool that will rid ourselves of those humdrum tedious tasks that bog us down every day. Why is it that the development team is able to be agile but the server and networking teams are still bound by the same routines? Wasn’t the CLI supposed to be dead by now?
One of the reasons why IoT is so vulnerable to attacks is the lack of visibility in what is truly happening in your environment. This is where edge computing comes in. Edge computing is about keeping compute proximal to the physical environment where it is collected in the first place, rather than forwarding everything to the cloud (particularly processing and storage). In the same way that the client/server computing model replaced the mainframe, enterprises are beginning to realize the benefit of a distributed computing model when it comes to IoT. Client/server architecture put processing power in physical proximity of the end user. Edge computing provides a local segmented processing network for IoT devices.