Events

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Webinar

AI/Machine Learning Series: Visual Intelligence for Modernizing Power Grid Infrastructure

Mar 11, 2025 • WEBEX
The Overhead Transmission Equipment interest group invites you to attend the webinar series on AI/Machine Learning Series on Visual Intelligence for Modernizing Power Grid Infrastructure which will feature Vik Chaudhary from Buzz Solutions to share the new enhanced technology on March 11th at 11:00 AM EST.Description: Power utilities face increasing challenges in maintaining grid reliability, reducing operational costs, and preventing failures due to aging infrastructure and extreme weather events. Buzz Solutions provides a digital and AI-driven solution that enables power utilities to efficiently manage transmission, distribution and substation assets through visual analytics, automated inspections, intelligent anomaly/defect detection, AI-based monitoring and work prioritization. In this presentation, we will explore how Buzz Solutions leverages AI, visual intelligence, and data-driven insights to transform asset management using its two solutions i.e. PowerAI and PowerGUARD. We will discuss the benefits of automating visual inspections, streamlining data analysis, and proactively identifying potential failures before they lead to outages. Through this presentation, we will share insights into how power utilities can enhance grid reliability, resilience, optimize maintenance workflows, and improve security and safety while achieving significant cost savings.These session will focus on two main areas to be covered in this series:Enhanced Predictive Maintenance: AI and machine learning can analyze large volumes of asset data, identify patterns, and predict equipment failures or maintenance needs, enabling proactive rather than reactive maintenance strategies. This reduces downtime and extends asset life.Automated Inspection and Anomaly Detection: AI-powered image recognition and sensor data analysis can automate asset inspections, detecting defects or anomalies in real-time. Machine learning models improve over time, increasing the accuracy and efficiency of inspections, while minimizing human errorWe look forward to your participation!
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