AI, Safety And Sustainability: Key Takeaways From GE Vernova’s APM User Conference 2025

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AI, Safety And Sustainability: Key Takeaways From GE Vernova’s APM User Conference 2025

GE Vernova held its 2025 global APM user conference, Transform to Transition, from April 8th to 10th in Houston, Texas. Centred on improving reliability, reducing emissions and driving safer, more valuable outcomes for businesses with APM software, GE Vernova showcased customer case studies, product roadmaps and partnership exhibitions. Insights shared highlighted how predictive maintenance, AI-driven innovation and a unified APM portfolio are reshaping plant operations to meet today’s challenges and prepare for the future.

After an action-packed three days filled with insightful customer case studies, analyst perspectives and hands-on sessions with product leaders, here are my three key takeaways:

  • Predictive maintenance and AI are reshaping operational safety, reliability and sustainability.
    The central message from the conference was clear: APM is evolving. From the opening session, GE Vernova’s Chief Commercial Officer Mark Wise emphasized how predictive strategies not only enhance reliability but also significantly reduce injuries – or, as he put it, “a reliable plant is a safe plant”. This sentiment of change was continued in the keynote, where AI was positioned as a “forcing function”, driving the need to rethink legacy processes and embrace change to truly move forward. And GE Vernova is clearly investing to lead this transformation. From partnering with AWS and ANYbotics to deliver fully autonomous inspection capabilities to integrating APM with the Cerius carbon management solution to streamline emissions tracking, the GE Vernova team is leveraging emerging technologies to enable smarter, safer and more resilient plants. Customer presentations from Cosmo Oil and SOCAR Türkiye highlighted how GE Vernova’s APM can drive operational improvements.

  • APM updates and cloud migration hinge on clearer roadmaps, champions and ROI alignment.
    Many firms still struggle with maintaining legacy systems and managing organization-wide adoption of new software and technologies due a lack of internal champions, budget constraints and highly customized on-premise deployments. To combat this, GE Vernova is doubling down on usability and automation, with updates like the Asset Health Accelerator’s automated workflows and recommended maintenance actions based on real-time health scores. The new iteration of the RoundsPro mobile app enables improved inspections and compliance tracking, and clearly defined workflows and migration tools to support cloud upgrades. Reflecting on this, customers such as HMEL and S-OIL emphasized the importance of change management and SME involvement from day one when migrating solutions.

  • Interactive workshops and real-world use cases show what’s possible.
    GE Vernova’s commitment to collaborative innovation was apparent across the entire event. Attendees were invited to help shape what comes next through highly interactive workshops and focused group sessions that dived deeper into new and planned APM features. For example, following feedback from users in previous forums, the GE Vernova Integrity team showcased and workshopped capabilities to defer inspections and perform 2D visualization as part of the RBI analysis. By creating space for open dialogue, feedback and lessons learned from current users, the organization is ensuring future developments are rooted in real-world needs; not just feature checklists.
Principal Analyst

Kiran is a Principal Analyst in the Verdantix Industrial Transformation practice. His current research agenda focuses on emerging solutions and global market trends across the process industries, with a particular interest in APM, AIP and process simulation solutions. Prior to joining Verdantix, Kiran worked at Siemens DI, where he gained experience in advanced process modelling and digital twin technologies. Kiran holds an MEng in Chemical Engineering from the University of Nottingham.