How to move past IT entanglement to unlock AI-based Asset Management
Modern energy facilities are more automated and interconnected than ever. From rooftop solar and district cooling in bustling Asian cities to large-scale WtE plants and grid-scale renewables, these facilities face unique challenges: intermittency in solar and wind output, rapid asset aging in humid/tropical climates and cascading risks across urban grids.
read moreA quick guide to Smart Maintenance features vs. ISO 55000
Based on the ISO 55000’s asset management framework, this article provides a comparative analysis of smart maintenance technologies in areas such as mobile solutions, IoT integration, AI analytics, and ESG support. It highlights application challenges and emphasizes aligning technology with business strategy, leveraging historical data for predictive maintenance, and supporting sustainability goals to achieve long-term asset management optimization.
read moreAI-powered O&M data preparation with bluebee® X LongAI Document Extractor
The new LLM-based document extractor further enhanced the data preparation approach adopted by Siveco China for many years by increasing automation into the elusive Maintenance Instruction preparation process.
read moreSummer activities around Predictive Maintenance for Siveco and friends
In this hot summer, the Siveco China team met many friends and joined exciting activities focused on a hot topic indeed: Big Data and AI for predictive maintenance. Unfortunately no beaches, no bikinis for us, but good fun all the same! Here are a few highlights and snapshots!
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