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navigating AI in maintenance

Navigating the AI Frontier: Balancing Innovation and Caution in Maintenance

Maintenance Management /

Today, as we navigate the AI frontier in maintenance, we face challenges on a grander scale. The potential for AI to revolutionize maintenance practices is immense — from predictive maintenance that anticipates equipment failures before they occur, to AI-assisted diagnostics that can rapidly identify complex issues. Yet, with this great potential comes great responsibility.

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The Evolution of AI in Maintenance: From Expert Systems to Intelligent Agents

Maintenance Management /

As new technologies are continually introduced in production environments to improve productivity, efficiency, and tolerances, maintenance teams have had to adapt and acquire knowledge to maintain these systems effectively. This article talks about new systems teams have to adapt to, and how AI is making a mark in the maintenance and reliability world.

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Data Preparation Strategies & AutoAI Advancements: Watson Studio Essentials

Asset Management /

There are many AI and Machine Learning (ML) tools out in the market today, and many more are being created while you have been reading this article. While you may think AI/ML is still an emerging technology, you would be correct, but you may be shocked to realize the growing number and focus on AI/ML tools that are already in existence. What might you need to have in place before being able to take advantage of these new tools, and what might the process to adopt them look like?

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artificial intelligence vs. reliability studies

Artificial Intelligence vs. Reliability Studies

CMMS / Tech Database /

Because of the telemetry available from modern equipment, the amount of well-organized data we have available to us is orders of magnitude beyond what we had just a few years back. It is very common now to have access to literally 1000’s of devices, each sending out data payloads with many data elements, at sub-second intervals. There can easily be terabytes of data available for us to analyze and then make decisions with. With so much data available, how best to ingest and use it for making near-real time decisions?

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Tor Idhammar

Torbjorn Idhammar is the blog manager for MaintenanceWorld.com.

A maintenance and reliability management consultant, Torbjorn has spent 25+ years in the profession and provides advice to clients around the world.

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Elizabeth Ruiz

Elizabeth Ruiz is the site administrator for MaintenanceWorld.com.

She is responsible for reviewing submitted content for the site and ensuring that it provides value to the readers of the site.

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Natalie Johnson

Natalie Johnson is the site administrator for MaintenanceWorld.com.

She is responsible for reviewing submitted content for the site and ensuring that it provides value to the readers of the site.

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