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Key Takeaways Traditional methods of estimating storage needs often lead to overspending or panicking when you have underestimated the amount of data that you need.
AI analyzes historical data usage to accurately forecast future storage needs — helping businesses avoid unnecessary spending or running out of storage.
Modern AI systems optimize and compress data, moving less-used files to cheaper storage options while keeping essential data on high-performance systems.
When was the last time you roughly calculated how much storage your business would need over a half-year period? Maybe you had a look at the growth you achieved last year and then added extra amounts to try to make sure you are safe.
This is the approach people usually take, and it is driven by anxiety. Fear not if you do this because people have been doing it for decades. IT leaders today have learned that running out of storage is something that can cost a lot of profits. At the same time, buying too much is not ideal and can lead to money wastage if you are overly cautious.
Data storage is not cheap. Global data creation is currently estimated to be around 175 zettabytes. Buying too much data is not financially savvy nor sustainable. Fortunately, there is a new alternative. Today, AI can predict how much data backup your business needs and when it will be needed.
The high cost of buying too much
Typically, your systems warn you when you are running low on available data storage. Usually, a heads-up comes when you are at 70% full, and then a message with a critical warning comes at around 80%. When this happens, most people buy more storage. However, this approach can increase your unplanned expenses by as much as 30%.
The need for data is never the same, and this makes things complicated. You need more when you are focusing on marketing. During the holiday season, when business can dry up as expected, you need less. Then, suddenly, when you plan to launch a new product, you need a whole lot of it.
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