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Global Data Science Conference

May-04 to May-05 2015
Santa Clara
Global Data Science Conference

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Data Science Conference is on May 4th and May 5th 2015.

Global Big Data Conference's vendor agnostic Global Data Science Conference is held on May 4th & May 5th, 2015 on all industry verticals. The Conference allows practitioners to discuss data science through effective use of various data management techniques.

Large amount of data created by various mobile platforms, social media interactions, e-commerce transactions, and IoT provide an opportunity for businesses to effectively tailor their services by effective use of data analytics. Proper use of data science can be a major competitive advantage for any business considering vast amount of  data being generated.

Data Science is an emerging field that allows businesses to effectively mine historical data and better understand consumer behavior. This type of scientific data management approach is critical for any business to successfully launch its products and better serve its existing markets.

Over 20 leading experts in Data Science area present at our conferences regularly.  Please send an email to for speaking engagements.

You Get To Meet
You get to meet technical experts, Senior and C-level executives from leading innovators in the Data Science space (Executives from startups to  large corporations will be at our conference.)

Who Should Attend:
CEO, SVP/VP, C-Level, Director, Global Head, Manager, Decision-makers,  Business Executives, Analysts, Project managers, Analytics managers, Data Scientist, Statistian, Sales, Marketing, human resources, Engineers, Developers, Architects, Networking specialists, Students, Professional Services, Data Analyst, BI Developer/Architect, QA, Performance Engineers, Data Warehouse Professional, Sales, Pre Sales, Technical Marketing, PM, Teaching Staff,  Delivery Manager and other line-of-business executives

Conference Location
Santa Clara Convention Center, 5001 Great America Parkway, Santa Clara, CA 95054 (map)

Refund Policy
No refunds will be given for cancellations

If you have any questions concerning Data Science Conference, please do not hesitate to contact or Call: 408-400-3769


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

NOTE: Agenda and speakers subject to change without notice

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