April 22nd: Principles for AI in the Real World
Thursday, April 22nd, 11:30 am – 12:30 pm Central
Register for Zoom details
Join us for a fireside chat with Martin Casado, General Partner at Andreessen Horowitz and Nick Feamster, Neubauer Professor of Computer Science at the University of Chicago to discuss what businesses, governments, and researchers need to know about operationalizing AI in the real world (and why it is different than traditional software). They will focus on the state of the field both in academia and industry and where they see opportunities for innovation.
Recent breakthroughs in artificial intelligence and big data have the potential to significantly advance science, healthcare, technology, and industry over the next decade. Despite the immense possibilities, many machine learning techniques present barriers to entry that make them difficult, if not prohibitive to implement, deploy, and maintain for all but the very largest cloud providers and content delivery networks.
Research groups, municipal governments, small businesses, and even Internet service providers report difficulty implementing and utilizing machine learning. Unlike traditional software, AI systems have unique properties that can become barriers when operationalizing a learning solution such as data acquisition and management, large-scale compute, storage costs, privacy, edge cases, and potential environmental impacts of training models. These constraints require new data architectures, machine learning algorithms, and fundamentally new business models to succeed. The discussion will also include practical advice for industry leaders, researchers, founders, and students to overcome or mitigate these challenges.
This event is part of the Chicago Data Discovery Virtual Summit, a two-day workshop that will bring together researchers and practitioners to discuss on how to overcome technical, organizational, and regulatory barriers that hinder data science. The summit will consist of talks, panels, and a demo of a prototype software stack developed at the University of Chicago. See the full agenda and registration information.
Save the date, May 12th, for our next CDAC Data & Technology Outlook: “Future of AI and Data Science in Telecommunications,” with Bryan Larish, Chief Security Architect, Networks at Verizon and Nick Feamster, Neubauer Professor of Computer Science at the University of Chicago. And watch for more information on a June CDAC Outlook featuring Olufunmilayo Olopade, Walter L. Palmer Distinguished Service Professor of Medicine and Human Genetics and Director of the Center for Clinical Cancer Genetics and Global Health at UChicago Medicine.