Auditorium
Transforming Video Security With Cloud and Generative AI
Modern video security is rapidly evolving from passive monitoring to intelligent, proactive systems. By combining cloud infrastructure with generative artificial intelligence, organizations can unlock scalable video storage, real-time analytics, and advanced capabilities like automated incident summarization, natural language search and predictive insights. This approach reduces operational burden, accelerates investigations and enhances situational awareness—while enabling continuous improvement through AI-driven learning. In this session, we explore how cloud-native architectures and generative AI are reshaping surveillance into a smarter, more responsive security ecosystem.
Speaker
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Christopher ZenatyPresident
Turing AIChristopher Zenaty is a dynamic executive with over 20 years of leadership experience in the security industry, specializing in IP video, access control, and AI-driven security solutions. He played a key role in scaling an early-growth company from $20M to $400M. With extensive hands-on expertise, he has led major government security projects across airports, seaports and other critical infrastructure sectors, ensuring compliance with stringent security requirements and deploying advanced surveillance technologies. Currently, Zenaty serves as the president and board member of Turing AI, a Silicon Valley-based software company specializing in generative AI solutions for security, law enforcement, and smart city applications. Under his leadership, Turing AI is driving the adoption of cloud-based AI video technology to enhance situational awareness, streamline operations and improve public safety across government and enterprise sectors.
