Predictive Asset Management: The IoT Analytics and Ecosystems Play
This IDC Perspective outlines the role of analytics software and ecosystems in the success of Internet-of-Things (IoT) projects in asset maintenance across industries. Traditionally, asset maintenance has often been seen as no more than an obligation or even a liability for industries owning asset-intensive processes."A proactive maintenance strategy — based on machine learning, AI, and a 360-degree view of the assets enabled by IoT — is gaining recognition within major asset-intensive industries, such as manufacturing and automotive, and becoming the new paradigm," says Marta Muñoz, EMEA IoT Practice Leader, IDC Europe.
Please Note: Extended description available upon request.
- Executive Snapshot
- Situation Overview
- Asset Maintenance: What's the Challenge?
- The Solution: Proactive Asset Maintenance
- Analytics-Driven IoT Platforms
- The Role of Application Enablement Platforms
- Data Ingestion
- Data Integration and Transformation
- Analytics
- Insight Automation
- Edge Insight Streaming
- The Result: Expanding the Window of Action
- Ecosystems: The Core of the Business Model
- The Winning Model
- Industry Perspective
- Supplier View
- Advice for the Technology Buyer
- Learn More
- Related Research
- Synopsis
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