Webinar on AI and Robotics: Revolutionizing Industrial Inspection Sustainably
The National Green Algorithms Program has opened registration for the webinar, “AI and Robotics: Revolutionizing Industrial Inspection Sustainably”, and invites all experts in artificial intelligence and sustainability to attend this upcoming event. Scheduled for May 7 at 11:00 AM (online), the webinar will focus on how AI and autonomous mobile robotics are advancing sustainability and cost-efficiency in industry through advanced inspection techniques and intelligent automation.
The event will feature key speakers from GMV: Miguel Hormigo, Director of the Industrial Sector, and Ángel C. Lázaro, Head of Robotics and Automation for the Industrial Sector. The event will analyze how AI and autonomous mobile robotics are optimizing energy use, reducing resource waste, and minimizing environmental impact—aligned with the goals of the National Green Algorithms Program (PNAV).
EVENT AGENDA
- 11:00 AM – 11:05 AM: Welcome and Introduction: Introduction by SGIA
- 11:05 AM – 11:10 AM GMV Presentation: Overview of GMV as a multinational technology group, with a focus on its work in robotics, industrial automation, and AI-based solutions – Miguel Hormigo, Director of the Industrial Sector at GMV.
- 11:10 AM – 11:50 AM AI and Robotics for a Sustainable and Efficient Industry: This session will explore how AI and robotics are transforming industry. Topics will include the operational efficiency, cost savings, reduced energy consumption, and environmental benefits brought by these technologies. Real-world use cases will be presented to demonstrate the impact and viability of these solutions in critical industrial settings – Ángel C. Lázaro, Head of Robotics and Automation for the Industrial Sector at GMV.
- 11:50 AM – 12:00 PM Q&A: An interactive session where attendees can ask questions, share insights, and engage with the speakers.
- 12:00 PM – Closing: An institutional summary of key takeaways and next steps toward a more digital, sustainable, and resilient industrial future.