Autonomous IT processes are attractive for their ability to save money and create greater efficiencies. However, as issues with self-driving cars have made clear, automated technologies still need work.

Organizations may want to reap the benefits of such technology but are wary of implementing it for fear that it will hinder rather than help. In this light, there are several important elements to consider.

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The benefits of autonomous AI

The data deluge continues to hit organizations hard. Data complexity is mushrooming while hiring or reskilling workers to manage it has essentially flatlined. IT departments are grappling with many issues, all at the same time, along with outages and hacks.

So naturally, smaller issues get pushed down to the “things to deal with later” list and often get lost in all the noise. These smaller issues or symptoms are typically indicative of a larger problem not much different than a tumor growing inside an organization’s network. The tumor could be manageable if detected early but often escapes detection by tired and overworked eyes and causes systemic and irreversible damage once it turns cancerous.

This results in data or business loss such as an eCommerce outage, a payment gateway failure, stock-outs in retail stores, and so on.

In addition, the number of skilled analysts you would need to examine every signal coming from your IT system simply does not exist. IDC predicts that the sum of the world’s data will grow to 175 zettabytes in 2025 – a compounded annual growth rate of 61%. It’s practically impossible for humans to tackle this on their own, all of the time and with 100% accuracy and speed. Organizations of almost any size will have to implement some kind of automated system to deal with this mass volume of data and signals.

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