Event Schedule
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, DataTiles.io) |
12:00 PM - 1:00PM | Lunch Break |
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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, DataTiles.io) |
Day -2 (March 8th 8:30AM-6:30PM )
8:30 AM - 9:00 AM | Registration |
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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 |
5:30PM - 6:30PM | PM RECEPTION |
Day -3 (March 9 8:45AM-5:30PM )
8:45 AM - 9:00 AM | Registration |
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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, Summer.ai) |
4:30 PM - 5:30 PM |
Keynote Panel: Solving Business Problems With Data Science Krishna Sankar (Chief Data Scientist, Blackarrow.tv) 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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Global Data Science Conference
Date: Mar 07th to 09th, 2016 Venue: Santa Clara, CA, USA - Event Info