March 27 to 29 2017, Santa Clara, USA.

Global Data Science Conference

Day - 1 (March 27th 7:30AM-6:00PM)
Artificial Intelligence(AI) Track

7:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Explainable AI using brain-motivated neural networks (Tsvi Achler, CEO, Optimizing Mind)
9:40 AM - 10:20AM In Depth TensorFlow (Illia polosukhin, Co-Founder xix.ai & Ex-Google Research)
10:20AM -10:40AM Break
10:40 AM - 11:20AM Deep Learning for Image Understanding at Scale (Stacey Svetlichnaya, Software Engineer, Yahoo)
11:20 AM - 12:00PM Use Case Track: AI and Big Data in Commerce (Manindra Majumdar, CEO, Gofind.AI )
12:00 PM - 1:0PM Lunch Break
1:00PM - 1:40PM Continuous Spark ML and Tensorflow AI Model Training and Deployment Across Hybrid Cloud Environments (Chris Fregly, Research Scientist, PipelineIO  & O'Reilly Author)
1:40PM - 2:20PM Beyond Chatbots: The future of A.I. and business (Will Murphy, VP, Talla)
2:20PM - 3:00PM Use Case Track: AI in Medicine(Anthony Chang, Director, CHOC Children's Medical Intelligence and Innovation Institute)
 
3:00PM - 3:20PM Afternoon Break
3:20PM - 4:00PM Use Case Track : AI in commerce (Andy Pandharikar, CEO, COMMERCE.AI)
4:00PM - 4:40PM How to Become a Self-Driving Car Engineer (David Silver, Self-Driving Car Lead, Udacity)
4:40PM - 6:00PM

Keynote Panel: The Future of AI 

Day -1 (March 27th 7:30AM-6:00PM)
Workshop

7:30AM - 8:00 AM Registration & Networking
8:00AM - 12:00 PM Spark Workshop (Spark Core) (Sujee Maniyam, Big Data Architect, Elephant Scale)
8:30AM - 12:30 PM Workshop : Text Modeling with R and Python (Frank Evans, Data Scientist, Exaptive)
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM Workshop:  Advanced Spark (Spark SQL, Spark ML) & Hadoop (Hive)Workshop (Sujee Maniyam, Big Data Architect, Elephant Scale)
1:00PM - 6:00PM Neo4j Graph Database Workshop for the Data Scientist Using Python (William Lyon, Software Engineer, Neo4j)

Day -2 (March 28th 7:30AM-6:30PM )

7:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Data Science use case/Technical Session
9:40 AM - 10:20AM Use Case: Advancing Cancer Care with Distributed Rapid Learning (Gunther Lenz, Director, Varian Medical Systems)
10:20AM -10:40AM Break
10:40 AM - 11:20AM Large Scale Machine Learning for Payment Fraud Prevention (Venkatesh Ramanathan, Data Scientist, PayPal)
11:20 AM - 12:00PM Making big data human-digestible (Chris Rupley, Data Scientist, Salesforce)
12:00 PM - 1:0PM Lunch Break
1:00PM - 1:40PM Causal inference in data science (Amit Sharma, Data Scientist, Microsoft)
1:40PM - 2:20PM When models go rogue: Hard earned lessons on using machine learning in production (David Talby, CTO, Atigeo)
2:20PM - 3:00PM How Enterprise Artificial Intelligence is Transforming Business Operations Globally (Matthew Denesuk, Chief Data Science Officer, Noodle.ai)
 
3:00PM - 3:20PM Afternoon Break
3:20PM - 4:00PM Data Science in Hollywood (Ashish Rastogi, Data Scientist, Netflix)
4:00PM - 4:40PM Data Science use case/Technical Session
4:40PM - 5:30PM

Keynote Panel: The Future of Data Science
 - Mohak Shah, Head of Data Science, Bosch Research
- Michael Tamir, Chief Scientist, TAKT

5:30PM - 6:30PM PM RECEPTION

Day -2 (March 28th 7:30AM-6:00PM)
Workshop

7:30AM - 8:00 AM Registration & Networking
8:00AM - 12:00 PM Kafka & Spark Streaming Workshop (Sujee Maniyam, Big Data Architect, Elephant Scale)
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM Workshop: Cassandra (Sujee Maniyam, Big Data Architect, Elephant Scale)

Day -3 (March 29th 7:45AM-5:30PM )

7:45 AM - 9:00 AM Registration
9:00 AM - 9:40 AM Data Science use case/Technical Session
9:40 AM - 10:20 AM Precision Measurements in eCommerce (Jennifer Prendki, Principal Data Scientist, @WalmartLabs)
10:20AM - 10:40AM Break
10:40 AM - 11:20 AM Building Real-time Scoring Engine Capabilities on Cloud (Srini    Nanduri, Director, Capital One)
11:20 AM - 12:00 PM "Why Should I Trust You?": Explaining the Predictions of any Classifier (Sameer Singh, Assistant Professor, University of California Irvine)
 
12:00 PM - 1:00PM Lunch Break
1:00 PM - 1:40PM Keynote Use Case Track: How advances in deep learning can empower the blind community (Anirudh Koul, Data Scientist, Microsoft)
1:40 PM - 2:20 PM Detecting trends in Open Source technologies (Mahesh Kumar, CEO, Tiger Analytics)
2:20 PM - 3:00 PM Fighting Online Fraud and Abuse with Large-Scale Machine Learning at Sift Science (Jacob Burnim, Staff Software Engineer, Sift Science)
 
3:00PM - 3:10PM Break
3:10 PM - 3:50 PM An Evaluation of Five Deep Learning Frameworks (Alok Aggarwal, CEO, Scry Analytics)
3:50 PM - 4:30 PM Smart Bots for Frustration-Free Ordering: Balancing Conversational with Buttons (Ashutosh Dubey, Founder, 12 Labs)
4:30 PM - 5:30 PM Keynote Panel: Solving Business Problems With Data Science

Day -3 (March 29th 7:30AM-6:00PM)
Workshop

7:30AM - 8:00 AM Registration & Networking
8:00AM - 12:00 PM Multi-model Data Management for a Complex World (David Cassel, Chief Evangelist, MarkLogic)
12:00 PM - 1:00PM Lunch Break
2:00PM - 6:00PM  Applied Tensorflow Workshop (Brok Bucholtz, Machine Learning Engineer, Udacity)

NOTE: Agenda and speakers subject to change without notice

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