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IBM Updates Maximo Line for Real-Time IIoT Insights
This week IBM announced a new addition to its Maximo IoT Asset Management Product Line: IBM Maximo Asset Monitor.
IBM Maximo Asset Monitor is designed to work within IBM's Maximo line and provide real-time, scalable, artificial intelligence-driven Industrial Internet of Things (IIoT) operational data and analytics.
In a Tuesday blog post, IBM's Carlos Ferreira explained how this release uses artificial intelligence (AI)-based technology like anomaly models to make monitoring smarter, resulting in fewer but more meaningful alerts and providing more actionable data, with a better overall user experience.
"IBM Maximo Asset Monitor aggregates operating state data and process parameters across legacy systems, historians, IoT sensors, and other repositories to provide enterprise-wide visibility into performance," he wrote in the post. The data can then be easily used by everyone in the organization, from operations and maintenance to reliability engineers to IT to everyone in enterprise management.
"IBM Maximo Asset Monitor is architected, designed and built to scale to allow an operations manager to monitor assets with hundreds of key performance metrics across multiple sites through a single dashboard," he continued. "Custom definable taxonomies allow users to quickly filter alerts, identify which assets require attention, and prioritize which assets to respond to first."
Developer documentation is available here. Getting started documentation can be found here, and Python function samples are available on GitHub here.
About the Author
Becky Nagel serves as vice president of AI for 1105 Media specializing in developing media, events and training for companies around AI and generative AI technology. She also regularly writes and reports on AI news, and is the founding editor of PureAI.com. She's the author of "ChatGPT Prompt 101 Guide for Business Users" and other popular AI resources with a real-world business perspective. She regularly speaks, writes and develops content around AI, generative AI and other business tech. She has a background in Web technology and B2B enterprise technology journalism.