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 Meet-and-Greet Featured Guests
Partner of HighAlpha, a VC/incubator firm specializing in cloud startups, and serial entrepreneur who has successfully founded and exited three startups.
CEO and co-founder of Ranku, an online education support startup that was acquired by Wiley.
Partner at Kleiner Perkins Caufield & Byers focusing on consumer investments in the firm’s digital practice. Former business development manager at Google.
CEO and founder of Circonus, a software analytics and monitoring company.
ACM Sponsored Sessions
Saturday, March 11, 9:30 - 10:30am
JW Marriott Salon 7
110 E 2nd St
Technical Fellow/Managing Director
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.
Monday, March 13, 9:30 - 10:30am
JW Marriott Salon H
110 E 2nd St
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.