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As utility infrastructure continues to age, ensuring the reliability and safety of these assets has become increasingly critical. Traditional methods of infrastructure inspections are not only time-consuming but also resource-intensive, making it challenging for utility companies to keep up with growing demands.
Enter Artificial Intelligence (AI).
By integrating AI-driven technologies into infrastructure inspections, utility companies can now modernize asset management and improve operational efficiency. AI-powered tools can analyze vast amounts of data captured by drones, sensors, and high-resolution cameras, enabling utilities to identify potential issues such as corrosion, cracks, or vegetation overgrowth more accurately and faster than ever before.
With predictive analytics, AI also plays a crucial role in extending the life cycle of critical assets. By identifying and addressing problems before they escalate, utilities can reduce costly downtime, prevent failures, and streamline maintenance workflows.
Moreover, AI’s ability to automate routine inspections empowers human resources to focus on higher-value tasks, ensuring a safer and more efficient process for workers in the field.
Modernizing inspections with AI is no longer a future possibility; it is today’s reality. Utility companies that embrace these innovations are better positioned to enhance reliability, optimize operations, and ensure their infrastructure can withstand the test of time.
To learn more, check out the full article here: Modernizing Utility Infrastructure Inspections: Where AI Meets Asset Management
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Chuck Salvo
Cloud Architect
IT asset management automates the end-to-end lifecycle for software licenses, hardware assets, and cloud.
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