Dr. Stephanie Gutnik is a distinguished leader and expert in Artificial Intelligence, with a primary focus on computer vision, IoT, and their practical applications in smart cities, autonomous systems, and enterprise solutions. Currently, as the Global Head of AI Solution Go-To-Market & Enablement at NVIDIA, she is responsible for driving the strategy and execution of bringing NVIDIA's advanced AI solutions to a global market. Before NVIDIA, Dr. Gutnik served as the Head of AI at Eagle Eye Networks, where she led the development and deployment of AI-powered cloud video surveillance technologies. Her doctoral research at the University of Toronto centered on persistent localization and mapping for autonomous vehicles. With a career spanning research, product development, and strategic market leadership, Stephanie is adept at translating complex AI capabilities into tangible business value and is a recognized voice on the impact and future of artificial intelligence.
Stephanie Gutnik's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheads the global go-to-market strategy and enablement for NVIDIA's diverse portfolio of AI solutions, influencing how cutting-edge AI technologies are adopted across various industries worldwide.
As Head of AI at Eagle Eye Networks, successfully led the development and scaled the deployment of AI-driven features for cloud-based video surveillance, significantly enhancing security, operational intelligence, and business analytics for customers.
Completed a Ph.D. from the University of Toronto with a specialization in Robotics and Computer Vision, focusing on 'Persistent Localization and Mapping for Autonomous Vehicles in Challenging Outdoor Environments', contributing foundational work to autonomous systems.
Frequently invited speaker at prominent industry conferences (e.g., NVIDIA GTC, ISC West, Embedded Vision Summit) and author of numerous articles, sharing insights on AI trends, computer vision advancements, and the ethical deployment of AI.
Proven track record in defining and executing AI product roadmaps, translating complex technical capabilities into market-ready solutions that address real-world challenges in sectors like retail, smart cities, and industrial automation.
McGill University - Year 2008
Edinburgh Business School - Year 2014
Edinburgh Business School, Heriot-Watt University - Year 2020
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The Canadian Association of New York (CANY) is a non-profit organization dedicated to fostering connections and community among Canadians and friends of Canada in the New York area. It provides a platform for social, cultural, and professional engagement through various events and initiatives, celebrating Canadian heritage and strengthening ties within the local expatriate and broader community. CANY hosts events such as networking receptions, speaker series, cultural outings, and its annual Maple Leaf Ball gala.
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