Data journalist Mona Chalabi is on a mission to “take the numb out of numbers.” In her illustrations, animations, and articles for The Guardian and publications like FiveThirtyEight and The New York Times, she explores data sets from the timely (affirmative action, voting trends, race, politics) to the offbeat (popular dog names in New York City) to the eye-opening (how many Americans eat pizza for breakfast). After analyzing statistics for the United Nations, Mona saw how important data was, but also how easily it could be used by people with their own specific agendas. In this talk, Mona will walk the audience step-by-step through her process for creating data visualizations using simple language, beautiful images, and a decent dose of humor.
AI-assisted development can accelerate coding, but faster output does not automatically lead to better delivery. In this session, Nick Daniel and John Halberstadt examine how teams can use Agile ways of working to bring AI into the full delivery proc…
