- #Computerized maintenance management system maximo manuals#
- #Computerized maintenance management system maximo update#
- #Computerized maintenance management system maximo upgrade#
Competitive advantage can be found by being early to market with the most personalized user experience. More than ever before, clients and consumers are looking for products tailored to their specific needs. Sellers looking for more information on the Cloud-based offerings and approaches should visit the Maximo SaaS sales kit, located in the Assets section. Maximo can be licensed in a number of ways, including on-premise and SaaS (Cloud-based). Visit the Maximo Network on Blockchain sales guide in the assets section for more information.
#Computerized maintenance management system maximo upgrade#
As the support to the earlier versions phases out, it is recommended to upgrade your clients to the current version, which supports functional add-ons like Service Provider, Scheduler, Mobile Asset Manager, Linear Asset Manager, Everyplace, Spatial Asset Management, Calibration, Real-Time Asset Locator and Archiving. These new features and integrated solutions enable the convergence of business with IT infrastructure management for improved organization performance. IBM Maximo Asset Management 7.6 is available with enhanced features and new functional add-ons.
They gain the knowledge and control they need to closely align their organization's goals with the overall goals of their business.
#Computerized maintenance management system maximo update#
We will discuss how the system is designed to provide explanations for interpretability and to monitor these deployed models for drift and automatically update models with more recent data to improve performance.Maximo's holistic perspective allows users to see all of their assets, as well as identify all of the untapped potential within them. Data dictionaries capture the tag and asset hierarchy and infer the semantics to provision data for automatic exploration of purpose-built library of algorithms to identify the best models for monitoring and prediction.
Another key dimension is to enable hands-free interaction with Maximo so that a technician can focus their eyes and hands on the job at hand, enabled with natural language interfaces and voice.Īlso, we will highlight some of the emerging capabilities for AI Lifecycle management that provides automation tools for data contextualization, model building and model management for day-to-day operations within Maximo. We will provide an example of the use of drones to inspect infrastructure such as bridges. In addition, new modalities such as images and video can be used to directly inspect assets and infrastructure for surface defects and irregularities using high resolution images with a minimal burden in terms of the number of images of defects required. We will highlight these techniques with examples from asset heavy industries. In this talk, we provide an ‘under the hood’ look at these technologies and how they power Maximo Application Suite.Īutomatic learning of sparse and robust behavioral and decision models from noisy sensor data from process variables and coupled with operator logs provide real-time monitoring for anomalies and predict impending failures with high accuracy.
#Computerized maintenance management system maximo manuals#
The use of multi-modal data such as noisy sensor data, text data from operator logs, repair manuals and standard operating procedures and image and video data are at the core of the AI-driven revolution for predictive asset management.