GE Vernova Recognized in Independent Analyst’s Report on Computer Vision Author Sticky Ryan Finger Global Director, Software Product Marketing GE Vernova’s Software Business Ryan Finger leads global Product Marketing for SaaS, Platform, and AI solutions at GE Vernova, helping customers accelerate their digital and energy transformation journeys. With a strong background in bringing advanced software and data platforms to market, Ryan focuses on positioning solutions that connect asset performance, AI, and industrial applications at enterprise scale. He holds an MBA with a concentration in Computer Science and Digital Transformation, bringing both technical depth and business strategy to the evolving world of industrial technology. Oct 21, 2025 Last Updated 6 minutes Share Key Takeaways Artificial Intelligence (AI) has many use cases in industrial organizations, including predictive maintenance, computer vision, digital twins, and GenAI copilots.GE Vernova’s Essentials uses microservices from AWS and other technology providers to create a central location for industrial asset data.GE Vernova recently announced a technology collaboration with robotics company ANYbotics.Autonomous Inspection uses image capture devices, such as those on ANYbotics hardware, and AI/ML algorithms to automate the manual inspection and monitoring process.GE Vernova has a future roadmap to integrate GenAI technology into Essentials and asset applications to support energy industry requirements. Prefer to listen?Stream our audio version 00:00/00:00 Introduction GE Vernova’s Autonomous Inspection application, part of our SaaS platform, was recognized in a recent Market Insights report from independent research and advisory firm Verdantix. This report discusses the key applications of Generative AI (GenAI) in the augmentation of computer vision capabilities for industrial organizations.Before highlighting GE Vernova’s unique position in the report, it is important to provide context around artificial intelligence (AI) for industrial organizations.First and foremost, AI is being used today across oil & gas, power generation, mining, metals, renewables, and other verticals. Use cases include: Predictive maintenance: using AI/ML models to reduce unplanned outages and make maintenance windows more efficient.Computer vision: fixed cameras, robots, drones or other mobile tools that can transform collected images into actionable time series data.Embedded digital twins: plants and networks leveraging data to anticipate failures, test what-ifs, and plan maintenance with uptime and cost reduction in mind.GenAI copilots: large language model (LLM) assistants can help to summarize work orders, create procedures, answer questions, and even draft shift reports. This progress has also created a good amount of hype for the future of AI for industrial organizations. Over the next 12–24 months, expect an increase in multimodal inspections, AI at the edge, higher-fidelity emissions data monitoring, and other use cases to scale as the technology becomes more efficient in tailored use cases.Both the existing and potential future use cases of AI are rightfully getting the attention from industrial professionals as the promise of faster drilling, reduced outages, lower emissions, reduced costs, and other benefits become more achievable to AI technology.To support the industrial space in its transformation, GE Vernova has been providing and investing in leading software solutions to help meet current and emerging needs. Across GE Vernova’s portfolio, investments have been and are continued to be made in the technology and applications required to deliver on the promise of AI. Essentials and Autonomous InspectionAccording to Verdantix, the integration of GenAI into computer vision for industry will likely have strong benefits. In Figure 1 below, Verdantix lays out the process of ingesting, curating, training, and evaluating data collected from computer vision for industrial organizations to take more advantage of their image data. Built with this in mind, GE Vernova provides a scalable, microservice platform called Essentials. Essentials, which support the ability to deploy in the cloud and as a SaaS offering, uses microservices from AWS and other technology providers to create a central location for industrial data from assets.Due to this platform composability, GE Vernova has recently announced a technology collaboration with ANYbotics, a leading robotics company. ANYbotics specializes in robotics for the energy industry, producing hardware that is compliant for many use cases. The Autonomous Inspection application leverages the Essentials infrastructure to integrate with ANYbotics hardware. Autonomous Inspection is a SaaS-based, computer vision application that can be used on fixed, rotating, robotics, or other hardware that leverages a Robotics Operating System (ROS). Today, Autonomous Inspection utilizes image capture devices and Artificial Intelligence/Machine Learning (AI/ML) algorithms to automate the manual inspection and monitoring process, either partially or completely. Its integration with select GE Vernova Asset Performance Management (APM) applications helps users access and act on visual data and insights within the APM applications to improve asset and operational outcomes.Looking at the progression of GenAI, GE Vernova is also focused on how to integrate the technology into Essentials and applications to help deliver on industry requirements. In the Verdantix Market Insights report, GE Vernova’s software was mentioned as having current functionality and future roadmap to support corrective and preventative actions (CAPAs).Verdantix notes: “Providers (GE Vernova) offer robust machine vision solutions as part of their APM suite, which have the ability to incorporate images and videos as a data source for their recommendations. In the next year, GE Vernova, along with continued work in leveraging GenAI for prescriptive recommendations within its SmartSignal product for APM, also plans to integrate results from visual inspections as an input to generate corrective and preventative actions (CAPAs) with its Autonomous Inspection image analytics application.” - Verdantix, Market Insight: Augmenting Computer Vision Technology With GenAI For Industrial Applications, December 2024Currently, GE Vernova has a cross-functional GenAI platform team that is identifying, testing, and deploying GenAI functionality across the portfolio. As part of this work, progress has been made in the form of document analysis, prescriptive analytics, model generation and more. For Autonomous Inspection, work continues on the exploration of additional microservices such as Amazon Bedrock to supplement current computer vision functionality. Conclusion Although GE Vernova was recognized in Verdantix’ report, there is more work to be done. As part of ongoing innovation projects and investment, GE Vernova will continue to work with customers, partners and the market to develop use cases such as GenAI to supplement computer vision. If you, or your organization, would like to learn more about how GE Vernova can help you get more from your asset data, reach out. Author Section Author Ryan Finger Global Director, Software Product Marketing GE Vernova’s Software Business Ryan Finger leads global Product Marketing for SaaS, Platform, and AI solutions at GE Vernova, helping customers accelerate their digital and energy transformation journeys. With a strong background in bringing advanced software and data platforms to market, Ryan focuses on positioning solutions that connect asset performance, AI, and industrial applications at enterprise scale. He holds an MBA with a concentration in Computer Science and Digital Transformation, bringing both technical depth and business strategy to the evolving world of industrial technology.