Nobody likes it, but we all have to deal with it. As the world's cities grow more densely populated, scientists and entrepreneurs are looking for solutions to gridlock, pollution and the other byproducts of a world filled with cars. Two sessions at the GPU Technology Conference earlier this month spoke to the role that data, deep learning and intelligent video analytics can play in easing traffic and improving quality of life for city dwellers the world over. Kurtis McBride, CEO of Miovision Technologies, an IVA startup based in Ontario, Canada, spoke to a room full of developers about his company's efforts -- and their 40 percent year-over-year growth -- to make traffic flow a little easier. Miovision's Open City platform gets data from existing city infrastructure and the company's own video cameras, and applies AI to create insights from it.

Video is the world's largest generator of data, captured by hundreds of millions of cameras in areas like government property, public transit, commercial buildings, and roadways. The number of cameras is expected to rise to more than one billion by 2020. AI technology enables powerful intelligent video analytics that can turn this staggering number of pixels into public safety and smart city solutions. NVIDIA Metropolis is the foundation of the AI City--an edge-to-cloud platform that can turn anonymized video into valuable insights. Driven by powerful technologies like NVIDIA Jetson TX2 at the edge and NVIDIA Tesla in the data center, it delivers intelligent video analytics for a wide range of applications.