FEATURE predictive dashboards to identify risks and take preventive action.
Data literacy becomes the new core skill
This shift transforms the job from a‘ break / fix’ routine into a strategic role focused on resilience. The daily work becomes more analytical and collaborative, reviewing AI-generated insights, coordinating with DevOps and engineering to preempt issues and quantifying avoided downtime.
For example, an IT operations team at a global retailer could use predictive analytics to identify a subtle disk I / O pattern that preceded storage failures in its e-commerce environment. By replacing drives proactively, the team could avoid several hours of peak-season downtime and save the company millions in lost transactions.
AI does not eliminate the need for human expertise; it magnifies it. It opens doors for IT support professionals to move from maintaining systems to shaping the strategies that govern them.
As AI handles much of the monitoring, the most valuable IT professionals are those who know how to interpret what the algorithms are saying. Predictive maintenance depends on telemetry data, anomaly detection models and correlation analytics and understanding these outputs requires fluency in data, not just systems.
Data literacy now sits alongside scripting, networking and cloud configuration as a must-have skill. IT professionals who can read predictive dashboards, identify the difference between a false positive and a real risk and translate that information into action will remain indispensable.
Derek Ashmore, AI Enablement Principal, Asperitas www. intelligentcio. com
INTELLIGENT CIO NORTH AMERICA
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