Smart City Advisory Council

Smart City Advisory Council

Overview:
This council applies AI to develop smarter, more sustainable urban environments, focusing on mobility, infrastructure, and citizen engagement.

Key Focus Areas:

• Dynamic Traffic Optimization: AI integrates video feeds, GPS data, and weather patterns to adjust traffic signals in real time, reducing congestion and emissions.
• Predictive Maintenance for Utilities: Machine learning models forecast failures in power grids and water pipelines, minimizing service disruptions.
• Urban Planning Simulations: Generative AI creates virtual models of city expansions, incorporating environmental impact and community needs.
• AI-Enhanced Public Safety: Multimodal surveillance systems identify and predict potential threats by analyzing crowd behavior and incident patterns.

Additional Examples:

• Autonomous waste collection systems that adjust pickup routes based on AI-analyzed fill levels of smart bins.
• Smart parking solutions leveraging Multimodal AI to guide drivers to available spots via app notifications.

Our Council Members

The Smart City Council is guided by a diverse team of advisors with expertise spanning city governance, urban planning, analytics, and academia. Together, they bring a wealth of experience and a shared commitment to driving innovation in urban environments through AI.