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Companies are rushing to address IT and business challenges by implementingAIstrategies.
But their roadmaps are leading in dozens of directions amid a barrage of AI hype and hope.
Enterprises can become frustrated with little measurable success, despite major investments of time and money.
Head of Intelligent-Infra Services, SLK Software.
A lack of process and procedural hygiene is responsible for much of the inefficiency and noise.
These seemingly small details can wreak havoc on the health of enterprise systems and larger business objectives.
Organizations can also suffer due to inadequate technical expertise, domain expertise, and staffing relative to capacity.
Tribal knowledge may also, at times, be locked in archaic approaches and technologies which further hinder modernization.
Humans can then review those AI-generated summaries and take corrective action that saves the organization time and money.
That data helps in prioritizing automation and resolution efforts.
Not least, AI can help to team up individuals working on the same issue across different organizational silos.
It can unearth process-related issues in those silos and across the teams.
Looking forward
In ITSM, AI will have a profound, long-term impact.
Predictiveanalyticswill facilitate proactive and preemptive systems maintenance.
All of this will reduce systems downtime, while improving stability and security across the enterprise IT landscape.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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