Bringing Context to Your Asset Data | AssetWatch on Industrial Talk

In this Industrial Talk episode, AssetWatch experts Greg Raglin and Bill Broderick share how adding context to vibration and temperature data leads to smarter, more reliable maintenance decisions. They explain how AssetWatch blends AI analytics with hands-on human expertise to filter noise, eliminate false alarms, and deliver clear, actionable insights to plant teams.

The discussion also covers deployment, training, and the importance of ongoing engagement to ensure predictive maintenance programs succeed. Greg and Bill highlight how AssetWatch is expanding into new data modalities and technologies to support the future of industrial reliability.

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Key points include:

• Why context is essential for accurate asset management data
• How AI + human analysts improve predictive maintenance outcomes
• Integrating condition monitoring with CMMS and plant systems
• Building effective monitoring programs around critical assets