ACM SGB Meeting Materials Agenda, September 19, 2008

SIG Governing Board
Friday, September 19, 2008
8:30 am – 4:00 pm

8:30 am – 9:00 am   Continental Breakfast
9:00 am – 9:15 am 1.0 Welcome
  1.1 Welcome Introductions (Wolf Hanson)
9:15 am – 10:00 am 2.0 Report from the ACM CEO (White)
10:00 am – 11:00 am 3.0 Proposed SGB EC initiatives (Wolf)
  3.1 Development of new SIGS (Konstan)
  3.2 Declining SIG membership (Wolf)
  3.3 Development of New Conferences (Konstan)
11:00 am – 11:15 am   Break
11:15 am – 11:35 4.0 SIGART Program Review (Gini) - SLIDES
11:35 am – 11:55 am 5.0 SIGecom Program Review (Pennock) - SLIDES
11:55 am – 12:15 pm 6.0 SIGKDD Program Review (Piatetsky) - SLIDES
12:15 pm – 1:15 pm   Lunch
1:15 pm – 1:45 pm 7.0 Professions Board Report (Bourne)
1:45 pm – 2:15 pm 8.0 Publications Advisor Report (Davidson)
2:15 pm – 2:45 pm 9.00 SGB EC Administrative Report (Wolf)
2:45 pm – 3:00 pm   Break
3:00 pm – 4:00 pm 10.0 Best Practices Session (All)
  10.1 Open meeting formats (Griswold) - SLIDES

ACM Case Studies

Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.

Prediction-Serving Systems

ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today. 

Why I Belong to ACM

Hear from Bryan Cantrill, vice president of engineering at Joyent, Ben Fried chief information officer at Google, and Theo Schlossnagle, OmniTI founder on why they are members of ACM.