[Colloquium] 4/22-23: Chicago Data Discovery Virtual Summit

[Rob Mitchum]

*Thursday, April 22, 11:30 am - 3:30 pm*
*Friday, April 23, 10:00 am - 12:00 pm*
*Register Here
<https://uchicago.zoom.us/webinar/register/WN_vBxJ6VAVSviH9PFJK2Nvqg>*

Many organizations have a wealth of data, but lack the necessary
infrastructure to extract value from these data sources. This virtual event
will bring together researchers and practitioners to discuss 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.

Agenda:

*Thursday, April 22nd *

*11:30 am - 12:30 pm  Center for Data and Computing Fireside Chat with Nick
Feamster (CS, University of Chicago) and Martin Casado (Andreessen
Horowitz)
<https://cdac.uchicago.edu/events/cdac-data-technology-outlook-principles-for-ai-in-the-real-world/>*

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. Professor Nick Feamster and Martin
Casado present practical advice for industrial practitioners, researchers,
and students to overcome or mitigate these challenges.


*1:30 pm - 2:30 pm Intro to Data Stations
<https://computerscience.uchicago.edu/news/article/data-stations/>:
Lightning talks from Graduate Students moderated by Raul Castro Fernandez*
Three barriers hinder effective sharing of data sharing: easy access to
sensitive data, data discovery and integration, and data governance and
compliance are all challenges with both technical and human components.
Professor Raul Castro Fernandez and his students present a new data
architecture that facilitates: secure access to sensitive data; data
discovery and integration across organizational boundaries; and governance
and compliance. This session is intended to highlight state-of-the-art
research to industrial practitioners and researchers.


*2:30 pm - 3:30 pm Industry Panel on Data Discovery (led by Mike Franklin)*
- Sarah Catanzaro (Amplify Partners)
- Kent Graziano (Snowflake)
- Shant Hovsepian (Databricks)

What is the future of the "data lake"? This panel brings together
technical, business, and venture capital perspectives on the future of
enterprise data management and data discovery. The panel will speak to a
diverse audience of researchers, students, and industrial practitioners to
understand this emerging area of data management.

*Friday, April 23rd *


*10:00 am - 11:00 am Data Stations Tutorial*
Professor Raul Castro Fernandez and his students demonstrate the software
artifacts developed from their research. This session is intended for
industrial practitioners interested in deploying these technologies at
their own organization.


*11:00 am - 12:00 pm Partner Feedback Session*
The data stations team will host an open forum to all attendees to
understand how our research and software can best address their
organizations needs. This session is intended for industrial practitioners
and future project partners.

-- 
*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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