Network with Tech Leaders and Innovators

For the second year in a row, ACM will head to the SXSW Interactive Festival – an internationally recognized event that brings innovators and entrepreneurs from around the world to Austin, Texas. This year, ACM will host an official SXSW party featuring successful tech entrepreneurs and investors, and sponsored sessions with Eric Horvitz and Jeff Heer. 

ACM Sponsored Sessions

AI on the Horizon: Challenges, Directions, Futures

Saturday, March 11, 9:30 - 10:30am
JW Marriott Salon 7
110 E 2nd St

Eric Horvitz
Technical Fellow/Managing Director
Microsoft

Artificial intelligence (AI) is at an inflection point and is poised to move into the open world and into our lives in numerous ways that will have numerous influences on people and society. While AI promises to provide great value, along with the promises and aspirations come concerns about potential costs, failures, and rough edges. Concerns include failures of automation in safety-critical domains, influences on jobs and economy, use of biased data and algorithms, and runaway AI. I address short- and longer-term challenges and touch on reflections and studies including the AAAI Asilomar Study and the One Hundred Year Study on AI at Stanford University.

Interactive Data Analysis: Visualization & Beyond

Monday, March 13, 9:30 - 10:30am
JW Marriott Salon H
110 E 2nd St

Jeff Heer
Associate Professor, University of Washington

Co-Founder & Chief Experience Officer, Trifacta Inc.

Data analysis is a complex process with frequent shifts among data formats, tools and models, as well as between symbolic and visual thinking. In this session, we will consider how to accelerate people's exploration and understanding of data by crafting a careful balance of interactive and automated methods. We will examine how to combine concepts from data visualization, machine learning, and computer systems to design novel interactive analysis tools, covering both interactive demos and principles from academic research. Participants should expect to learn about current trends in visual data analysis tools and gain new insights applicable to their own work.