Schedule: Business & Industry sessions

Business & Industry Data Driven Business Day, Grand West (NY Hilton)
Tutorial Please note: to attend, your registration must include Tutorials.
For business strategists, marketers, product managers, and entrepreneurs, Data Driven Business Day looks at how to use data to make better business decisions faster. Packed with case studies, panels, and eye-opening presentations, this fast-paced day focuses on how to solve today's thorniest business problems with Big Data. It's the missing MBA for a data-driven, always-on business world. Read more.
Business & Industry Data Science, Grand East (NY Hilton)
Tutorial Please note: to attend, your registration must include Tutorials.
Robert Grossman (Open Data Group), Collin Bennett (Open Data Group)
Average rating: ****.
(4.25, 4 ratings)
A successful big data analytic project is not just about selecting the right algorithm for building a predictive model, but also about how to deploy the model efficiently into operational systems, how to evaluate the effectiveness of the model, and how to continuously improve it. In this tutorial we cover best practices for each of these phases in the life cycle of a predictive model. Read more.
Business & Industry, Beekman / Sutton North (NY Hilton)
Stan Humphries (Zillow)
Average rating: ****.
(4.00, 2 ratings)
Real estate used to be an industry that had large information asymmetry between professionals and consumers. Zillow has leveled the playing field through its living database on over 100 million homes. Advanced statistical modeling gives consumers even more information and tools, such as the well-known Zestimate. Using data and analytics, Zillow has changed the real estate industry forever. Read more.
Business & Industry, Beekman / Sutton North (NY Hilton)
Oscar Padilla (Entravision Communications), Franklin Rios (Luminar), Vineet Tyagi (Impetus Technologies)
Average rating: ***..
(3.67, 3 ratings)
How a traditional Spanish-language media company, made the strategic decision to build a robust analytics intelligence division to more effectively target the Hispanic market. Attendees will walk away with insights on how this traditional media company implemented a big data and MapReduce operations from the ground up. Read more.
Business & Industry, Beekman / Sutton North (NY Hilton)
Kevin Foster (IBM)
Average rating: *....
(1.67, 3 ratings)
In this session, Kevin Foster, IBM Big Data Solution Architect, will provide an overview of big data analytic accelerators and how they are being used by organizations to speed up deployments and solve big data problems sooner. Read more.
Business & Industry, Beekman / Sutton North (NY Hilton)
Raymie Stata (Altiscale)
Average rating: **...
(2.50, 2 ratings)
Success in Big Data requires both finding new signals buried in your data sources ("explore"), and using those signals to drive business value ("exploit"). Based on his background in Web Search and Internet Advertising, the speaker will describe these two aspects of Big Data and some of the success factors for each. Read more.
Business & Industry, Beekman / Sutton North (NY Hilton)
Robert Kirkpatrick (UN Global Pulse)
Average rating: ****.
(4.80, 5 ratings)
What can Big Data analysis tell us about human well-being? About how people cope with unemployment, rising food prices, or about people’s perceptions of HIV and other deadly diseases? A lot. Read more.
Business & Industry, Beekman / Sutton North (NY Hilton)
Q Ethan McCallum (@qethanm), Brett Goldstein (University of Chicago)
Average rating: ****.
(4.67, 3 ratings)
We often hear of private-sector companies' use of sophisticated analytics in search of profit. What about the civic sector? How are local governments using their data to improve city services? This talk will explore how the Chicago Mayor's Office teamed up with civic-minded data scientists to pursue data mining solutions for some of the city’s experimental projects. Read more.
Business & Industry, Gramercy East (NY Hilton)
Susan E. McGregor (Columbia University), Kathleen Duff
Average rating: *****
(5.00, 2 ratings)
Does self-destructing data protect individuals' right to privacy and offer journalists an essential tool ability to protect their sources? Or would such a technology be a fundamental threat to effective law enforcement? We will describe the basic design of such a self-destructing data technology and discuss its disparate implications for individuals and government entities. Read more.
Business & Industry, Gramercy East (NY Hilton)
Jim Adler (inome)
Average rating: ****.
(4.88, 8 ratings)
Since the first human scrawled an image on a cave wall, the brain has been processing petabytes of data. Today, we're passing through an historical threshold where big data is leaching out of our braincases into the disembodied cloud. For the first time in human existence, we can "think" outside of our brains. What does this mean for privacy, morality, ethics, and the law? Read more.
Business & Industry, Gramercy East (NY Hilton)
Adrian Woodhead (Expedia)
Being a data-driven organization is core to developing and growing a successful Internet company today. This session will delve into the data ownership implications and considerations product teams need to take into account as they build products and services aimed at growing their user base and scaling their companies’ business. Read more.
Business & Industry, Gramercy East (NY Hilton)
Jonathan Alexander (Vocalocity, Inc.)
Average rating: ***..
(3.00, 1 rating)
Jonathan Alexander, VP Engineering at Vocalocity and the author of Codermetrics (O’Reilly 2011) and Moneyball for Software Engineering (O’Reilly Radar 2011/2012) presents new ideas on how to gather data and use analytics to create more effective software development teams. Read more.

Sponsors

Sponsorship Opportunities

For information on exhibition and sponsorship opportunities, contact Susan Stewart at sstewart@oreilly.com.

Media Partner Opportunities

For information on trade opportunities contact Kathy Yu at mediapartners
@oreilly.com

Press and Media

For media-related inquiries, contact Maureen Jennings at maureen@oreilly.com

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