Are Corporate Data Centers Becoming Obsolete?

Table of Contents

Last updated on March 19th, 2023 at 04:50 pm

Read Time:3 Minute, 12 Second

With the rise of big data and machine learning, companies everywhere are paying more attention to their data strategy. After all, if you don’t keep up with the rapid change of digital technology brought on by advances in data analysis and storage, then your company could fall behind. And that’s why corporate data centers could actually be obsolete:

Printing

Any serious business is going to rely heavily on printing. From average documents that are used for memos, to invoices, to sketches, you probably use printing every day in your company. And if you’re not using the right software, you could be wasting time, resources, and money.

That is often the case with traditional data centers. They rely on servers. This means a few things. First of all, you’re paying for the space for the servers, the hardware, the maintenance, and the cooling. That’s not to mention the extra security threat. Then there is the productivity to consider. When each user has to connect to the printer to get their item through, it can back up your system and slow down your bandwidth. This is compounded when each user takes time to customize their settings.

However, with serverless printers, you can enjoy cloud printing that doesn’t actually have any of the downside of the cloud. Instead of backing up and interfering with the rest of your network, the printer can communicate directly with your devices. This speeds up printing and reduces the surface of the cyber attack vector so your information stays safe.

AI (Regression Computing)

AI is a brilliant way to speed up your daily operations with regards to your data network. However, most data centers are not utilizing it correctly. This is because they rely on legacy systems. In order to update these machines, they have two options: pay a lot of money to have someone ship them away so they can put better systems in, or lose a lot of money by not having efficient systems (i.e. keep their old system in place). But putting better systems into place with AI that can run algorithms for big data analysis is the right choice if you want to make better choices based on new insights with your data.

Security

There are a lot of questions as to the security of traditional data centers. After all, a company’s information is their most valuable asset in today’s day and age. From customers’ credit card info, to secret product information, to passcodes to executives’ emails, virtually everything of competitive and monetary value is stored in a datacenter.

The only way to win the cyber war is to go on offense. Hackers now have many vectors of attack: traditional print servers, regular servers, emails (phishing), USB keys, and wifi cracks. You need to have proper network security tools installed to be able t monitor all of these threats at the same time.

If your current data center does not host this capability, then you are left in the dark. You can’t know if a cyber threat is being executed in real time. You can’t know which device it’s coming from, or even if there is a way to quarantine it. Make sure you are investing in monitoring tools that detect and alert you to threats before it’s too late to do anything about it.

When it comes to big data, you need to collect it and then analyze it. Once you do, you can put the data to work for your company’s goals. But it’s not enough just to have traditional data centers. In this modern age, you need to leverage new technologies and cloud solutions that let you reduce your overhead (in terms of both software and hardware). Then, you can sit back and have peace of mind that you’re on the cutting edge of technology in your industry.