Day -1 (May 4 8:00AM-5:00PM )

8:00 AM - 8:40 AM Registration
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
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