Wed Oct 7 MDT - Thu Oct 8 MDT (over 1 year ago)
In your timezone (EST): Wed Oct 7 10:00am - Thu Oct 8 7:45pm
Phoenix, AZ, USA
How Machine Learning is transforming the future of our urban communities
The inaugural edition of the SCME Conference explores practical, real-life enterprise use cases showing how cities can use data science, machine learning, AI, IoT and open data to become more livable and to create more intelligent transportation options. From predictive analytics to policy, SCME examines the role of governments, enterprises, and individuals in driving positive change in our increasingly connected communities. This micro-focused event brings together specialists who can educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere with sustainable food, great coffee, and entertainment.
Rapid advancements are challenging cities and the mobility industry with new business models, new technologies, new methodologies in development and manufacturing, unprecedented levels of automation, and the need for new infrastructure. What do these challenges mean for the future of our communities and how can they be meaningful to the enterprise?
Learn from enterprise practitioners, technical experts and executives how to solve real-world problems affecting our communities by harnessing disruptions in data, artificial intelligence, machine learning, and cutting-edge technologies. Workshop real-world applications with other attendees, like deep learning, sensor fusion, data processing and AI, automotive camera technology and computer vision algorithms, and reinforcement learning.
Senior Software Engineer, Astro Digital
Vice President, Arizona Commerce Authority
Founder & CEO, Hayden AI
Head of Government Partnerships, Spin
CEO and Founder, Upward
Founder and CEO, RubyRide
Former Chief Data Officer, Chicago
President & CEO, Greater Phoenix Economic Council
Director of Government Partnerships, Swiftmile
Public Policy Manager, Turo
Deputy Director, Mbta Advisory Board
Vice President at Radar, O'Reilly Media
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