Challenges arise when there is a lack of operating visibility, data accessibility, alert prioritization and quick decision making. Proactive intervention enables action before traditional control systems are designed to react. IBM Maximo Asset Monitor provides an easy format to process data and display the results in real time. By collecting data from Maximo, SCADA, sensors, and other existing OT systems, in a single data lake, companies can apply the built in AI detection models to improve asset and operational availability. Engineers and plant managers can reduce costly downtime and improve production reliability with AI-powered remote asset monitoring at scale.
Join us for a discussion on how Monitor can be the first step in your journey to predictive maintenance, why it matters now, and the business values your organization can recognize. Our IBM Solutions Engineer, will also demonstrate how to collect data in real time, apply anomaly detection models and easily navigate the tool while visualizing meaningful and actionable alerts. Let us help you get on the fast path to enterprise scale asset monitoring with AI!
Join CommunityInvite ColleaguesLearn MoreGet Started on MORE