The Applied Data Science Invited Talks Track
The Applied Data Science Invited Talks Track consists of invited talks and panel discussions / debates by leading experts in the world of Data Science, applied data mining and KDD. The track features highly influential speakers who have directly contributed to successful data science and data mining applications in their respective fields. The talks and discussions will focus on innovative and leading-edge, large-scale real applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure (transportation, utilities, etc.), telecommunications, social media, computational advertising, and many other areas.
The objective of these invited talks is to bring together leading industry and government practitioners to share their insights and experiences in order to inspire the KDD community to pay attention to critical issues in and impact of major applications. We carefully curate taopics and invited speakers to spread awareness of the variety of seminal, innovative, and proven applications of of the technology as well as the issues that must be dealt with in bringing an application to a real setting. This track complements the Applied Data Science Track at KDD that focuses on peer reviewed publications. In the Invited Talks track we focus on presentations about the application and its impact once recognized in the industry.
Information on the previous successful editions of the Industry and Government Invited Talks can be found at:
- KDD 2015 Industry and Government Invited Talks (http://www.kdd.org/kdd2015/industry-gov-talks.html)
- KDD 2014 Industry and Government Invited Talks (http://www.kdd.org/kdd2014/industry-gov-talks.html)
- KDD 2013 IPE (http://www.kdd.org/kdd2013/industry-practice-expo)
Co-Chairs
- Rajesh Parekh (Facebook)
- Usama Fayyad (Barclays)
- Evangelos Simoudis (Synapse Partners)
Invited Talks

Can You Teach The Elephant To Dance? AKA: Culture Eats Data Science for Breakfast
Jonathan Becher: Chief Digital Officer / SAP
Monday, August 15 - 10:00am to 12:00pm (Yosemite)

Large-Scale Machine Learning at Verizon: Theory and Applications
Jeff Stribling: Associate Director of Product Management, / Verizon
Monday, August 15 - 10:00am to 12:00pm (Yosemite)

Computational Social Science: Exciting Progress and Future Challenges
Duncan Watts: Principal Researcher / Microsoft
Monday, August 15 - 10:00am to 12:00pm (Yosemite)

Bayesian Optimization and Embedded Learning Systems
Jeff Schneider: Engineering Lead / Uber Advanced Technology Center
Monday, August 15 - 4:15pm to 6:15pm (Yosemite)

The Wisdom of Crowds: Best Practices for Data Prep & Machine Learning derived from Millions of Data Science Workflows
Ingo Mierswa: Founder and President / RapidMiner
Monday, August 15 - 4:15pm to 6:15pm (Yosemite)

How Machine Learning has Finally Solved Wanamaker’s Dilemma
Oliver Downs: Chief Scientist and CTO / Amplero
Monday, August 15 - 4:15pm to 6:15pm (Yosemite)

Accelerating the Race to Autonomous Cars
Danny Shapiro: Senior Director of Automotive / NVIDIA
Tuesday, August 16 - 10:00 am to 12:00pm (Yosemite)

Building User Profiles from Online Social Behaviors, with Applications in Tencent Social Ads
Ching Law: GM Social Ads / Tencent
Tuesday, August 16 - 10:00 am to 12:00pm (Yosemite)

Learning Sparse Models at Scale
Ralf Herbrich: Director of Machine Learning / Amazon
Tuesday, August 16 - 10:00 am to 12:00pm (Yosemite)

It's About Time
Caitlin Smallwood: Vice President of Science and Algorithms / Netflix
Wednesday, August 17 - 10:00am to 12:00pm (Yosemite)

The Dirty Little Secret of Enterprise Data
Andy Palmer: Co-Founder & CEO / Tamr, Inc.
Wednesday, August 17 - 10:00am to 12:00pm (Yosemite)

Democratizing Consumer Identity: Data Science’s Answer to Facebook and Google
Kamakshi Sivaramakrishnan & Randell Cotta: Founder & CEO and Senior Data Scientist / Drawbridge
Wednesday, August 17 - 10:00am to 12:00pm (Yosemite)