Event Schedule
Day -1 (May 4 8:00AM-5:00PM )
8:00 AM - 8:40 AM | Registration |
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8:40 AM - 9:20AM | TSAR (the TimeSeries AggregatoR) - How to Count Tens of Billions of Daily Events in Real Time Using Open Source Technologies (Anirudh Todi , Software Engineer, Twitter) |
9:20 AM - 10:00AM | Keynote: Leveraging Value from Big Data and Dark Data through Data Science (Dr. Satyam Priyadarshy, Chief Data Scientist, Halliburton) |
10:00AM -10:10AM | Break |
10:10 AM - 10:50AM | Using Data Science to Optimize Communication within a Mobile and Multi-device Ecosystem (Jon Bennion, Data Scientist, EA) |
10:50 AM - 11:25AM | Making HBase Accessible to Scientists (Aaron Benz, Data Scientist, Accenture) |
11:25 AM - 12:00PM |
The Amazing Power of Massively Distributed Evolutionary Algorithms (Babak Hodjat, Co-Founder & Chief Scientist, Sentient Technologies) |
12:00 PM - 1:0PM | Lunch Break |
1:00PM - 1:40PM | Keynote: The Science of Messaging (Yan Qu, Chief Data Scientist, ShareThis) |
1:40PM - 2:10PM | The role of data scientists in product development (Esteban Arcaute, Director, Walmart Labs) |
2:10PM - 2:50PM | Large-Scale Machine Learning ( John Canny, Professor, UC Berkeley & Yahoo Labs) |
2:50PM - 3:00PM | Ice Cream Break |
3:00PM - 3:40PM | The Unreasonable Effectiveness of Product Sense (Shubha Nabar, Principal Data Scientist, Salesforce) |
3:40PM - 4:20PM | Fraud or not Fraud? That is the question. Using modern Machine Learning techniques to identify fraud in credit card transactions (Nitesh Kumar, Data Scientist, Skytree) |
4:20PM - 5:00PM | Enterprise Deep Learning with DL4J (Josh Patterson, CEO, Patterson Consulting) |
Day -2 (May 5 8:45AM-5:10PM )
8:45 AM - 9:00 AM | Registration |
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9:00 AM - 9:40 AM | Keynote: Building Drug Safety & Risk Monitoring Systems leveraging Big data and analytics (Kameshwar Eranki, CEO, Vajrasoft) |
9:40 AM - 10:20 AM | Machine Listening at Pandora (Erik Schmidt, Senior Data Scientist, Pandora) |
10:20AM - 10:40AM | Break |
10:40 AM - 11:20 AM | Personalized Card linked offers: Unlocking the value behind transactions with data science (Kaushal Kurapati, VP, MasterCard) |
11:20 AM - 12:00 PM | Robust Anomaly detection at Netflix (Shankar Vedaraman, Manager, Netflix & Jeffrey Wong, Senior Data Scientist, Netflix) |
12:00 PM - 1:00PM | Lunch Break |
1:00 PM - 1:40PM | Keynote: SriSatish Ambati(CEO, 0xdata ) |
1:40 PM - 2:20 PM | Distributed Deep Learning Framework over Apache Spark (Vijay Agneeswaran, Director Data Sciences, Tally Analytics) |
2:20 PM - 3:00 PM | Thinking Big and Small - How Bigger is not Always Better (Halim Abbas, Chief Data Scientist, Think Big) |
3:00PM - 3:10PM | Break |
3:10 PM - 3:50 PM | Industrial Data Science in Practice (Saurabh Thapliyal, Data Scientist, GE) |
3:50 PM - 4:30 PM | Personalized recommendations from web events in Spark: Challenges and opportunities(Diego Klabjan, Founder, Opex Analytics) |
4:30 PM - 5:10 PM | Categorization of Small Documents into Distinct Themes (Ashutosh Dubey, Founder, 12 Labs) |
NOTE: Agenda and speakers subject to change without notice
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Global Data Science Conference
Date: May 04th to 05th, 2015 Venue: Santa Clara, CA, USA - Event Info