USA Computer Services Blog

You can’t wake up anymore without hearing something about AI, and in the business world, there’s almost a sense of peer pressure around it. Nowadays, you have to be using AI, or your business will be left behind… or at least, that’s the narrative.

While we are in no way discouraging you from adopting AI, we are saying that moving forward without a plan is likely to waste your money. For AI to work the way you want and need it to, you need to have done the homework and laid a foundation for success.

Artificial intelligence has reshaped the relationship that many people have with technology, and especially how we work and communicate. Despite this, there are plenty of challenges that the technology faces—especially if it wants to remain sustainable. Today, we want to look at the fuel that keeps these platforms running—the data center—and why it’s important to consider them in the context of the AI conversation.

As IT professionals, we understand that effective device management is crucial for maintaining optimal performance and security. A simple, often-overlooked practice is the routine reboot of Android mobile devices.

When was the last time you performed a controlled shutdown and restart of your corporate or personal Android smartphone? If your answer involves "I wait until the battery dies," you're likely missing out on simple performance and security gains. Also, if the only way to restart is using the power button, and it breaks, you're stuck.

Artificial intelligence, or AI, is practically now a household name, and it’s changing the way we think about work, communication, and even innovation. It takes a lot of power and infrastructure to fuel these systems, however, and they wouldn’t be possible without the data center. These structures are the powerhouses that enable AI, but what does a data center for AI look like?

So, one of your devices—let’s say it’s a computer monitor—finally gives up the ghost and dies on you. What do you do?

Too many people would answer this question by simply tossing the offending monitor into the trash, even though that would be precisely the wrong move. Let’s go over how to properly dispose of your old technology and review the many reasons it is essential to do so.

We all want to be more productive, but actually being more productive is harder than it sounds. Thankfully, you can make being productive easier than ever by implementing proven frameworks to drive success. Today, we’ll highlight three different frameworks: the Eisenhower Matrix, Eat the Frog, and the Two-Minute Rule.

Your email inbox is one of your most accessed business resources, which means that it cannot get clogged up with useless messages that have little to no value, i.e., spam. If you want to make the most out of your workday, that means mastering your inbox and getting it under control. Today, we have three great tips to help you do just that.

Your business lives and dies by its budget, and its IT budget is no different. If you can get your IT budget under control, you can enjoy greater peace of mind and reassurance that your operations are as smooth as possible. Today, we want to look at three of the greatest factors that can contribute to an efficient IT budget: the IT roadmap, minimized downtime, and outsourcing IT. Let’s get to it.

Whether employees like it or not, they bear some sort of responsibility for the technology they use in the office. It’s your job as the business owner to ensure that they get the help they need to both make effective use of the technology and to do so in a way that keeps the business safe. Today, we want to look at three of the ways hiring a managed service provider can help you offer better and more consistent IT assistance for your employees.

When the time comes that you have to make a big decision—one that could have some significant impact on your business, for instance—what does your thought process look like? Do you rely on data, or do you rely on what your gut tells you?

If it’s the latter, you’re literally relying on your least accurate information and hoping that you get the most beneficial outcome. Instead, why not rely on the other, quantitative and confirmed data your business has collected over the years and pair it with the analytical prowess of AI tools?