[Colloquium] CDAC Data & Technology Outlook: Principles for AI in the Real World

[Rob Mitchum]

*Thursday, April 22, 2021 *

*11:30 AM - 12:30 PMZoom (Register Here
<https://www.eventbrite.com/e/cdac-data-technology-outlook-principles-for-ai-in-the-real-world-tickets-146962116647>)
or YouTube <https://youtu.be/aH36DKBXyak>*


*CDAC Data & Technology Outlook: Principles for AI in the Real World*
*Martin Casado <https://a16z.com/author/martin-casado/#5>, General Partner
at Andreessen Horowitz*
*Nick Feamster <https://people.cs.uchicago.edu/~feamster/>, Neubauer
Professor of Computer Science at the University of Chicago*

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.


*Part of the CDAC 2021 Data & Technology Outlook Series, in collaboration
with the Data Discovery Summit
<https://cs.uchicago.edu/calendar/event/1227/>*
Many of the data science and computational tools that revolutionized the
modern business landscape resulted from close collaborations between
industry and academia. Tomorrow’s innovations are under construction today
in R&D departments and university laboratories, where researchers develop
solutions to the most pressing data challenges across fields.

This year, the Center for Data and Computing (CDAC) at the University of
Chicago presents a series of critical conversations between industry
leaders and researchers pushing the frontiers of data science forward,
presenting and discussing new tools in artificial intelligence, data
analysis and discovery, security and privacy, that will define the next
decade of data technology in science and industry. The Outlook series will
provide a balanced understanding of the trends reshaping business and tech
with the goal of translating hype into realistic predictions.


-- 
*Rob Mitchum*

*Associate Director of Communications for Data Science and Computing*
*University of Chicago*
*rmitchum at uchicago.edu <rmitchum at ci.uchicago.edu>*
*773-484-9890*
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