The cloud isn’t a stranger to businesses. Over the last few years, organizations have been steadily moving to the cloud. Businesses are taking advantage of the cloud’s scalability and flexibility, along with its security and robust disaster recovery strategies.
Don’t forget about cost savings. Migrating to the cloud can be cost-effective but the process can be extensive. Streamlining the process is becoming a priority and one solution is using AI.
However, leveraging AI capabilities in the cloud isn’t as easy as pressing a key on your laptop. There’s a bit of planning and prep involved.
Moving data regardless of the size involves a bit more than copying and pasting. Sure, this can be an option. However, don’t expect your data to be usable or even accessible for quite a while.
Even a small family-owned business can still generate a ton of data. Moving your data, even copies, to the cloud isn’t something you can do in a few hours or even a couple of days.
You may be able to speed up the process by bringing in an entire IT team. However, this can be expensive and there’s no guarantee the process will move any faster.
Sometimes, bringing in extra help backfires. Your staff may be getting in each other’s way and you still need to go through the employee onboarding process.
So, you’ve pretty much decided against relying on human staff to handle every aspect of the cloud migration process. This leaves you with AI but does it really come with benefits?
Some industry buzzwords are worth paying attention to. Boosting efficiency is one of these buzzwords. When efficiency is a priority, businesses typically see some surprising benefits. Not only are processes running more smoothly, but your business is also saving money.
Efficiency and cost savings typically go hand-in-hand. An efficiently run business tends to spend less on operating costs.
Not to mention the boost you often see in employee morale. Your staff tends to function better when everything is moving along efficiently and effectively.
Using AI in your cloud migration can reduce the time spent on the task by around 30% on average. AI automates many of the time-consuming tasks like generating code and transforming data so your staff doesn’t have to.
Since tasks are being automated, you aren’t going to need to bring in outside resources to assist with your cloud migration strategy.
There’s a word business owners hate hearing. Downtime means a company is still spending money on operational procedures even though nothing is going on.
Maybe your IT team missed a potential vulnerability and now it’s an active threat. Your servers are down and this means your data is inaccessible.
Even though your staff probably doesn’t mind some unexpected paid time off, it’s not the best business practice.
Your organization needs money coming in, faster than it’s going out. Artificial intelligence is predictive. Meaning, the tool can spot potential issues that your human staff may miss.
AI can flag any potential risks to your infrastructure or cybersecurity, giving your team time to rectify the issue before it becomes an expensive problem.
Did you know pretty much every business must follow at least some security compliance regulations?
Typically, you think of industries like financial institutions and healthcare facilities when it comes to data security. You’re on the right track.
For example, HIPAA applies to the healthcare industry. These are a set of rules and regulations healthcare businesses must follow to ensure consumer data is protected.
If your business is storing any type of data considered personally identifiable information (PII), security compliance should always be a priority.
Cloud-based AI computing during migration helps ensure you’re always in compliance with industry standards regardless of where you’re at in the transfer process. Even after your data is in the cloud, AI will still constantly monitor for any potential threats.
You probably already know keeping your customers happy is key to your business’s success. After all, it’s tough to keep consumers coming back if they hate their experience. You should be putting as much focus on your employees as your customers.
If your staff is miserable just about every business aspect takes a hit.
Using AI to power your business process is a win-win for everyone. Disruptions to everything from your website to the checkout process move along smoothly and seamlessly.
Employees can also pull up necessary data without delays. Since AI is adaptive, these processes are constantly being improved and updated.
Great! You’re ready to use AI in your cloud migration strategy. Every step of the process just got a little easier.
Everything starts with a system assessment. From there, design a migration plan. You may discover that AI can’t quite handle every aspect of your strategy.
Since you have a plan you’re ready to step in when AI takes a bit of a break. Along with creating an effective plan, you should get ready for the following steps.
Get your data ready. You can just start migrating your data but you may be moving inaccurate and/or biased information.
During the migration process, start cleaning out redundant and incorrect data. You can use AI to clean and organize your data. This way, you’re not bringing along inaccurate information.
Use AI for data mapping.
AI can help you create a migration strategy, generate code, and design a data architecture. Pretty much everything you rely on your IT staff to knock out, AI can handle.
This way your IT staff can stay focused on other aspects of their jobs. Your data plan is ready and it’s all mapped out. All that’s left is to execute your cloud-based AI migration strategy.
AI is here to stay and this isn’t a bag thing. AI in the cloud can simplify just about every aspect of your business. However, moving your data to the cloud isn’t exactly a small job and this is where AI can truly shine.