How industrial middleware unlocks the full value of operational data AI and why most AI programs fail without it
Power companies are being asked to deliver higher reliability while their operating environment becomes more dynamic. Conventional power generation:
- must run with greater flexibility,
- grid assets must absorb new load patterns,
- renewable portfolios must operate as dependable capacity,
- and storage systems must be monitored as mission-critical infrastructure.
The primary challenge is not a lack of data, but the challenge of data fragmentation. Enter industrial middleware that can better connect OT and IT systems and data, replacing fragmentation with normalized data as reusable assets to govern data quality and generate reliable recommendations. When this middleware is combined with AI enablement, middleware turns critical equipment modeling from reactive visibility into proactive decision making.
