GE Vernova demonstrates how AI anticipates failures in industrial assets
GE Vernova presented at API Summit 2026 how AI improves industrial asset management and speeds up decision-making.
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Industrial assets: the future of risk-based management
Industrial asset management is evolving towards models based on risk, data, and artificial intelligence to optimize decisions.
AsInt accelerates the implementation of asset integrity
Michael Warren explains how AsInt helps reduce implementation time and improves auditability in asset integrity programs.
API advocates for responsible AI to strengthen mechanical integrity
API highlights that artificial intelligence must rely on reliable data and technical expertise to strengthen the industry.
Continuous asset monitoring: Abyss’s vision
Continuous asset monitoring using artificial intelligence and robotics allows for anticipating incidents and improving decision-making in the industry.
AsInt Edge redefines industrial asset integrity management
AsInt introduces AsInt Edge with a cloud-based platform that integrates AI and technical data for industrial asset management.
Vysus Group redefines asset integrity management
Vysus Group explains at API Summit 2026 how it combines engineering, data analysis and technical expertise to manage asset integrity.
API strengthens professional certification in the face of industry challenges
API professional certification evolves to meet the new needs of the industry and prepare the next generation of specialists.
Apave analyzes the future of inspection and asset integrity
Advanced inspection and specialized training pave the way for protecting asset integrity in the industry.
Acuren integrates data and engineering to better manage assets
The company explains how a holistic approach improves asset decision-making.