Maximo Asset Monitor: AI-powered remote monitoring at enterprise scale for assets and operations
Maximo developers can build anomaly detection features, use data to automate workflows, predict, prevent, and prescribe actions, and design rich yet simple dashboards
AI is being infused across all enterprise business processes, and asset monitoring is no exception. This week, we announced the arrival of new enterprise-scale solutions for our market-leading asset monitoring solution, IBM Maximo Asset Monitor.
The proliferation of IoT devices and the adoption of artificial intelligence to extract value from IoT device data has resulted in assets with increasing intelligence. IBM Maximo delivers essential insights to operate and maintain high-value physical assets in asset-intensive industries like oil & gas, energy & utilities, industrial manufacturing, and travel & transportation. We are enhancing our IBM Maximo portfolio with IBM Maximo Asset Monitor, which provides AI-powered remote monitoring at enterprise scale. With Maximo Asset Monitor, operations leaders can optimize performance with fewer, more meaningful, and actionable alerts and greater insights into what is causing failures. This enables enterprises to catch small problems before they become big problems and lead to costly downtime.
With this new release, Maximo developers can now publish any externally sourced data, streaming from Customer Data/SCADA, Maximo Portfolio, Weather Company APIs, or Integrated Supply Chain APIs. You can also use new REST interfaces to create monitoring dashboards that visualize outputs of the prebuilt analytics functions, including AI-based anomaly detection. The resulting alerts help users proactively predict failures, understand their operations systematically, and monitor usage trends.
Maximo Asset Monitor also includes a new, responsive web UI based on Carbon, an open-source design system built by IBM. With the IBM Design Language as its foundation, the system consists of working code, design tools and resources, human interface guidelines, and a vibrant community of contributors. This allows developers and designers alike to extend their dashboards using this exciting new open source community project based on React. These components use REST interfaces for creating dashboards and querying and filtering data for the Maximo Asset Monitor service.
Maximo Asset Monitor gives you tools and connectors that ingest data from multiple sources and create customized dashboards and visualizations. You can easily apply advanced analytics and artificial intelligence to the data using pre-built Python models to detect operational asset issues and anomalies. Customized dashboards allow resolution teams to drill down into asset data, and operations teams now have an enterprise-wide view of their operations workflow.
Be sure to register for our live virtual event on November 21 at 11 a.m. ET to hear the vision from IBM’s leadership and clients for optimizing operations with IBM Maximo Asset Monitor. Read the blog “Gain remote asset insights at scale with IBM Maximo Asset Monitor” to help you get started developing with Maximo Asset Monitor. Visit the IBM Maximo hub, where you’ll find resources like the code pattern “Visualize IoT data in dashboards using Python,” as well as tutorials, articles, and blogs to help you develop IBM Maximo solutions.
As more and more enterprises come to rely on AI, solutions like Maximo Asset Monitor give you access to data and APIs that can provide richer insights via analytics and AI — improving the safety, security, and robustness of your IoT “things.”
Keep up with all the latest Watson IoT technologies over on our IoT Hub.