Any firm that is not aggressively exploring automating its more manual IT operations is losing precious financial and human capital and may eventually lag behind as AI becomes more integrated into work.
Automation and artificial intelligence (AI) are transforming enterprises and will boost productivity, resulting in increased economic growth. Automation and artificial intelligence are not new concepts, but recent technological advancements are pushing the limits of what robots can accomplish.
Here are the top three ways AI can aid teams, businesses, and customers by automating tedious IT activities and freeing up valuable resources.
To compete with human engineers, an AI tool would need to reach levels of logic and creativity that it hasn’t yet attained. However, AI can still be extremely useful in detecting exceptions and anomalies. Businesses teach it how to operate normally, and it identifies when something isn’t right.
Pattern recognition is another edge AI has over humans. Let’s imagine a system crashes every week at the same time or when memory use reaches a specified threshold. Artificial intelligence technology might quickly connect the dots. AI can figure out which developer habits are linked to problems, as well as which code patterns are checked into the repo. This can be used to alert developers to the fact that they have done something that is likely to break and to request that they double-check their work.
Forecasting future problems
In IT, as it is in medicine, the proverb “an ounce of prevention is worth a pound of cure” holds true. Unexpected downtime and costly breakdowns can be avoided by monitoring operations and taking proactive action rather than reacting to problems as they develop.
Preventative maintenance is something that most CIOs and IT employees are familiar with, whether it’s installing software updates or maintaining backups. After a specified period of time has passed or consumption has been recorded, this type of maintenance is performed.
Predictive maintenance, on the other hand, is personalized to the individual. To develop tailored forecasts, it monitors the equipment and its environment, conducts tests, and receives feedback from the equipment.
Refining lower-tier incidents
Dealing with IT tickets can feel like playing a never-ending game of Whack-A-Mole, only without the joyful carnival music and prizes.
As everyone knows, some incidents are worth paying attention to while others aren’t. IT departments become overburdened when they don’t have a system in place to properly triage events. This is where sophisticated filters come in. They have been differentiating between good and bad, significant and unimportant, for years in search engines and email inboxes. IT departments can tell the difference between real incidents and noise.
Using AI approaches such as case-based reasoning, businesses can rapidly and reliably diagnose a problem by deciding which solution to investigate first or what further information to request from a customer. Case-based reasoning systems build a valuable knowledge base by learning from successes and failures, applying sophisticated probabilistic reasoning to discover probable solutions. IT managers can better allocate resources for events that require human response using intelligent filters and case-based reasoning.
While there are many existing AI applications that help IT departments and many more yet to be uncovered, debugging, predictive maintenance and intelligent filtering are three AI applications that are critical for any great IT department today.