Predictive maintenance has emerged as a systems and software capability because more information has become available from assets themselves, and operational and maintenance functions have become digitized. Specific factors include:
- Availability of large amounts of data gathered through instrumented and connected assets
- Availability of data gathered through the Internet of Things (IoT)
- Convergence of IT with operational technology
- Advances in analytics to gain insights from data
- Artificial intelligence (AI) technologies such as machine learning — the ability for a system to learn from data on its own without programming
