Beyond the Wrench: How AI is Giving Maintenance Teams "X-Ray Vision"
Details
The meetup will include networking time from 5-5:30pm for those who attend in person and an optional tour of the facility before the hybrid event begins at 5:30pm. NWIRC will provide light refreshments/snacks for in-person attendees.
Unable to attend in person?
Join Zoom Meeting
https://us06web.zoom.us/j/85291027861
Meeting ID: 852 9102 7861
Join NWIRC, Cascadia AI and Cloud Computing, and guest speaker Alex Zare* of GeoGizmodo, LLC for a riveting discussion on the intersection of AI and machinery maintenance prediction (with applications for manufacturing and other industries).
In the past, fixing heavy machinery meant relying on years of intuition to find a problem after something went wrong. Today, multi-agent AI predicts failures in advance — analyzing sensors to cut downtime and costs.
We’ll explore the world of "Predictive Maintenance"—the science of using Artificial Intelligence and Machine Learning to eliminate "downtime." Learn how "Generative AI" isn't just for chatbots; it’s being used to help maintenance teams "talk" to their equipment, getting real-time health reports that identify issues weeks before they happen. Whether you’re a business leader, an engineer, or just curious about the future of industry, come see how military-grade AI is making "broken" a thing of the past.
*About Alex Zare, M.S. AI and Full Stack Engineer, GeoGizmodo, LLC:
Alex skillfully blends his extensive background in complex project leadership with cutting-edge cloud innovation and AI/engineering expertise. He leverages industry-agnostic techniques to deliver scalable and secure solutions, transforming challenges into opportunities for growth and efficiency.
AI summary
By Meetup
Hybrid talk on AI-powered predictive maintenance for maintenance teams and engineers; learn how AI predicts failures weeks ahead to reduce downtime and costs.
AI summary
By Meetup
Hybrid talk on AI-powered predictive maintenance for maintenance teams and engineers; learn how AI predicts failures weeks ahead to reduce downtime and costs.
