Conference: Jun 13-15, 2016
Tutorials: Jun 16-17, 2016
Track: Applied Data Science and Machine Learning
Location:
- Robinson / Whitman
Day of week:
- Wednesday
Now that we're flush with opportunities to collect data, just how much can we do with it today? How much can we learn, how quickly can we prescribe action and what are the most valuable questions to ask of our data? This track explores all of the above with the latest production ready techniques and technologies within data science and machine learning. We bring you the leaders in the data science from data driven companies that have honed techniques that you can walk away with and use today. The explosion of data processing, learning, understanding and visualization tools has made this a more accessible field than ever and our lineup will share the latest ready for use in production.
by Chris Sanden
Senior Analytics Engineer @ Netflix
At Netflix we strive to provide an amazing experience to each member, winning the "moments of truth" where they decide what entertainment to enjoy. To accomplish this we need to maintain high availability across our systems. However, humans cannot continuously monitor the status of all these systems making it critical for us to have tools that analyze our system environments and make intelligent operational decisions in real-time.
This talk will discuss how Netflix uses data mining...
by Vaclav Petricek
Director, Data Sciences at Live Nation Entertainment
Ticketmaster, the biggest primary ticket issuer and Live Nation, the biggest concert promoter in the world make it possible for hundreds of millions of fans to have a blast at tens of thousands of shows on sale at any point in time.
When U2 or Lady Gaga tickets go on sale the burst of traffic is insane. Even during such crazy times Machine Learning has to:
i) Provide fans with Real-time event recommendations
ii) Detect Bots and ticket scalpers before they snatch tickets...
by Sandy Ryza
Data Scientist at Cloudera
Under reasonable circumstances, how much can you expect to lose? The financial statistic Value at Risk (VaR) seeks to answer this question. Since its development on Wall Street soon after the stock market crash of 1987, VaR has been widely adopted across the financial services industry.
Some organizations report the statistic to satisfy regulations, some use it to better understand the risk characteristics of large portfolios, and others compute it before executing trades to help make...
by Rowan Vasquez
Researcher at Twitter
As social networking ad products have become prominent, the need to prove their efficacy has risen in importance. We utilize a data science methodology to determine the offline impact of an online sales travel campaign. We explain how to use Pig and R to process geo-location information in Hadoop and determine whether a user was motivated to pursue action offline after online campaign exposure, ultimately finding a statistically significant impact.
Open Space
Join Rob Witoff, our speakers, and other attendees for Applied Data Science and Machine Learning Open Space. Stay for questions and share war stories!
What is Open Space?
Open Space is a kind of unconference, a simple way to run productive meetings for 5 to 2000 or more people, and a powerful way to lead any kind of organization in everyday practice and extraordinary change.
...
by David Beyer
Investor at Amplify Partners
by Olaf Carlson-Wee
Head of Risk at Coinbase
by Richard Minerich
Director of Research and Development at Bayard Rock
Tracks
Wednesday Jun 10
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Applied Data Science and Machine Learning
Putting your data to use. The latest production methods for deriving novel insights
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Engineer Your Culture
Building and scaling a compelling engineering culture
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Modern Advances in Java Technology
Tips, techniques and technologies at the cutting edge of modern Java
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Monoliths to Microservices
How to evolve beyond a monolithic system -- successful migration and implementation stories
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The Art of Software Design
Software Arch as a craft, scenario based examples and general guidance
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Sponsored Solutions Track I
Thursday Jun 11
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Emerging Technologies in Front-end Development
The state of the art in client-side web development
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Fraud Detection and Hack Prevention
Businesses are built around trust in systems and data. Securing systems and fighting fraud throughout the data in them.
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Reactive Architecture Tactics
The how of the Reactive movement: Release It! techniques, Rx, Failure Concepts, Throughput, Availability
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Architecting for Failure
War stories and lessons learned from building highly robust and resilient systems
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High Performance Streaming Data
Scalable architectures and high-performance frameworks for immediate data over persistent connections
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Sponsored Solutions Track II
Friday Jun 12
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Architectures You've Always Wondered about
Learn from the architectures powering some of the most popular applications and sites
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Continuously Deploying Containers in Production
Production ready patterns for growing containerization in your environment
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Mobile and IoT at Scale
Users, Usage and Microservices
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Modern Computer Science in the Real World
How modern CS tackles problems in the real world
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Optimizing Yourself
Maximizing your impact as an engineer, as a leader, and as a person
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Sponsored Solutions Track III
