March 07 to 09 2016, Santa Clara, USA.

Global Data Science Conference

Global Data Science Conference

Day -1 (March 7th 8:30AM-6:00PM)

8:30AM - 9:00 AM Registration & Networking
9:00AM - 12:00 PM Introduction to Machine Learning & Predictive Analytics using R Workshop (Sudhir Wadhwa, CTO,
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM An Analytics Odyssey: From Predictive to Cognitive (Piyush Malik, Director, IBM)
1:40PM - 1:50PM Big Data in Cancer Application (Kazuaki Nakane, Professor, Osaka University)
1:50PM - 6:00PM Introduction to Machine Learning & Predictive Analytics using R Workshop (Sudhir Wadhwa, CTO,

Day -2 (March 8th 8:30AM-6:30PM )

8:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM How Comcast uses Data Science and Machine Learning to improve the Customer Experience (Jan Neumann, Data Science Team Lead, Comcast)
9:40 AM - 10:20AM Keynote: Big-Data analytics misconceptions (Irad Ben-Gal, Chairman & Professor, Stanford University)
10:20AM -10:40AM Break
10:40 AM - 11:20AM Hunting Criminals with Hybrid Analytics (David Talby, Chief Technology Officer, Atigeo)
11:20 AM - 12:00PM Detect Sensitive Data in Hadoop Clusters (Benoy Antony, Founder, DataApps)
12:00 PM - 1:0PM Lunch Break
1:00PM - 1:40PM Monitoring and Troubleshooting Real-time Data Pipelines (Alan Ngai,VP of Engineering, OpsClarity & Premal Shah, Co-Founder, 6sense)
1:40PM - 2:20PM Keynote: Netflix Keystone - How we built a 700B/day stream processing cloud platform in a year (Peter Bakas, Director, Netflix)
2:20PM - 3:00PM Create impact at scale by data-driven applications (Leo Li, Analytics Leader, LinkedIn & Wendy Shi, Manager, LinkedIn)
3:00PM - 3:20PM Afternoon Break
3:20PM - 4:00PM Predicting The Future: Surprising Revelations From Truly Big Data (Pushpraj Shukla, Principal Data Scientist, Microsoft)
4:00PM - 4:40PM Detecting Anomalies in Streaming Data, Evaluating Algorithms for Real-world Use (Alexander Lavin, Research Engineer, Numenta)
4:40PM - 5:30PM

Keynote Panel: The Future of Data Science
Milind Bhandarkar (CEO, Ampool) - Moderator
Peter Bakas (Director, Netflix)
Leo Li (Analytics Leader, LinkedIn)
Pushpraj Shukla (Principal Data Scientist, Microsoft)
Mike Tamir (Chief Science Officer, Galvanize)
Alexander Lavin (Research Engineer, Numenta)


Day -3 (March 9 8:45AM-5:30PM )

8:45 AM - 9:00 AM Registration
9:00 AM - 9:40 AM Using Analytics to Drive Change in the Workforce (Genetha Gray, Data Scientist, Intel)
9:40 AM - 10:20 AM Keynote: Random Forests: How a Chance Driven Learning Machine Does So Spectacularly Well on Marketing Datasets (Dan Steinberg, CEO, Salford Systems )
10:20AM - 10:40AM Break
10:40 AM - 11:20 AM Structuring Data for Self-Serve Customer Insights (Jim Porzak, Data Scientist, DS4CI )
11:20 AM - 12:00 PM Case studies in connecting Devices to cloud - experience of an Indian Startup (Janakiram Dharanipragada, Senior Researcher, IIT Madras)
12:00 PM - 1:00PM Lunch Break
1:00 PM - 1:40PM Building a Predictive Intelligence Engine (Viral Bajaria, Chief Technology Officer, 6sense)
1:40 PM - 2:20 PM Keynote: Predictive Analytics, Inventory Management, Machine Learning, Ecommerce (Paolo Massimi, Director, Stitchfix)
2:20 PM - 3:00 PM How to Build a Better Network of Community Care Providers Using Data (Mohamed Elmallah, Manager, Children's Hospital of Los Angeles)
3:00PM - 3:10PM Break
3:10 PM - 3:50 PM User behavioral predictive analytics through deep learning-based emotion recognition (Jr Alaoui, CEO, Eyeris)
3:50 PM - 4:30 PM Hybrid Artificial Intelligence (Manuel Ebert, CEO,
4:30 PM - 5:30 PM Keynote Panel: Solving Business Problems With Data Science
Krishna Sankar (Chief Data Scientist,
Robert Bernard (Data Scientist, Boeing)
Mohamed Elmallah (Manager, Children's Hospital of Los Angeles)

Shankar Vedaraman ( Manager, Netflix)

NOTE: Agenda and speakers subject to change without notice


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