Let’s assume that, as a responsible business owner, you’ve established standard operating procedures for your employees to follow—including the tools they can officially use in the course of their tasks. That said, there is always the chance that someone encountered an issue and independently investigated and “fixed” it.
If anyone is using an unapproved tool or an external account to access and manipulate your business data, you have a problem… a problem known as shadow IT.
Antivirus is great and all, but it’s important in business to acknowledge that not all solutions you implement are equal. What seems like a good deal could actually put your business at risk. If your antivirus isn’t reliable, you can’t continue with business with the assurance that everything will be okay.
Many modern businesses rely on in-house server hardware, enjoying the perceived sense of security it provides. After all, you can see it, you can touch it, your data is literally at arm’s reach… what could happen?
Well, a brownout… and that’s just for starters.
While there are many benefits to an in-house infrastructure, there are also many shortcomings. For one, your business is among the most dangerous places to store your data.
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.
