Uber Open is a one-day summit for developers and community leaders advancing open source collaboration and innovation at scale. Featuring over 15 talks and workshops delivered by the technologists building and using some of Uber’s most popular open source projects, Uber Open will showcase how these technologies are driving the future of data visualization, artificial intelligence, site reliability, and more. RSVP and more information here: Uber Open 2018.
Many applications which consume hexagon data need smoothing due to data. One common smoothing approach is based on k-ring. In this talk, we will present a data smoothing approach based on hexagon convolution. We will also discuss how we build real-time forecasting on top of the hexagon convolution.
