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.
