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Tech Talk | Seeing Through the Smoke: Building Network Resilience with Satellite Imagery and AI
Overview
Tech Mahindra presents an exclusive Tech Talk on building network resilience using satellite imagery, AI, and LiDAR technologies.
As climate risks intensify and infrastructure ages, organizations face increasing pressure to protect critical networks while managing operational costs, regulatory compliance, and complex geospatial data.
This session demonstrates how advanced technologies are redefining asset visibility, condition assessment, and remote monitoring while delivering measurable outcomes across industries.
Key Takeaways
Asset visibility improvements
- High-resolution satellite imagery enables effective monitoring of remote and high-risk areas, improving asset visibility
- LiDAR provides accurate, up-to-date terrain and vegetation mapping, supporting better infrastructure assessment
Approaches to proactive risk prediction
- AI can be applied to identify asset vulnerabilities and environmental threats early
- Vegetation encroachment and asset condition analysis can be automated to reduce manual effort and improve operational efficiency
Strategies for faster, safer response
- Real-time situational awareness is achievable through dynamic risk maps
- Predictive analytics support emergency planning and preparedness, contributing to safer and more resilient networks
Tech Talk | Seeing Through the Smoke: Building Network Resilience with Satellite Imagery and AI
Overview
Tech Mahindra presents an exclusive Tech Talk on building network resilience using satellite imagery, AI, and LiDAR technologies.
As climate risks intensify and infrastructure ages, organizations face increasing pressure to protect critical networks while managing operational costs, regulatory compliance, and complex geospatial data.
This session demonstrates how advanced technologies are redefining asset visibility, condition assessment, and remote monitoring while delivering measurable outcomes across industries.
Key Takeaways
Asset visibility improvements
- High-resolution satellite imagery enables effective monitoring of remote and high-risk areas, improving asset visibility
- LiDAR provides accurate, up-to-date terrain and vegetation mapping, supporting better infrastructure assessment
Approaches to proactive risk prediction
- AI can be applied to identify asset vulnerabilities and environmental threats early
- Vegetation encroachment and asset condition analysis can be automated to reduce manual effort and improve operational efficiency
Strategies for faster, safer response
- Real-time situational awareness is achievable through dynamic risk maps
- Predictive analytics support emergency planning and preparedness, contributing to safer and more resilient networks