Global Data Science Conference

Day - 1 (October 16th 7:30AM-6:30PM)
 
Track  1

7:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Machine Learning & Suspicious Activity (Gregg Sansone, Director of Financial Crime Analytics, USAA)
9:40 AM - 10:20AM Keynote Session:  Finding Value in Massive, Growing Health and Wellbeing Data (Andrew Jacobus, VP Data Science, Virgin Pulse)
10:20AM -10:40AM Break
10:40 AM - 11:20AM Operationalizing Data Science - How to Leverage Big Data, AI and the Cloud for Business Success (Stephen Smith, Eckerson Group, Head of Data Science)
 
11:20 AM - 12:00PM Boost Model Performance: Advanced Data Preparation and Model Strategies (Scott Clendaniel, VP Analytics, Morgan Stanley)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Cheating at Deep Learning: Quick Prototyping using Keras (Jeremiah Johnson, Professor, University of New Hampshire)
1:40PM - 2:20PM Qualitative Visualization: Visualizing Uncertainty and the Unforeseeable (Payman Khodabandehloo, Principal UX Design-Information Architect, TIAA)
 
2:20PM - 3:00PM Keynote: Diverse architectures to run your R code on single machine to widely distributed PaaS environments (Tirthankar Barari, Solution Architect, Microsoft)

3:00PM - 3:30PM Afternoon Break
3:30PM - 4:10PM Artificial Intelligence in your Pocket: Designing Machine Learning Algorithms for Smartphone Sensor Data (Dan Shiebler, Senior Data Scientist, TrueMotion)
 
4:10PM - 4:50PM Increase Customer Engagement with Data-Driven Content Marketing (Chris Requena, CEO, Boston New Technology)
4:50PM - 6:00PM

Keynote Panel: The Future of AI 

6:00PM - 6:30PM Data Science/ML/DL/AI use case/Technical Session

Day -1 (October 16th 7:30AM-6:00PM)
Workshop

7:30AM - 8:00 AM Registration & Networking
8:00AM - 9:00 AM Data Science/ML/DL/AI use case/Technical Session
9:00AM - 12:00 PM Spark Workshop (Spark Core) (Tim Fox, Big Data Architect, Elephant Scale)
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM Workshop:  Advanced Spark (Spark SQL, Spark ML) & Hadoop (Hive)Workshop (Tim Fox, Big Data Architect, Elephant Scale)

Day -2 (October 17th 7:30AM-7:30PM )

7:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Predictive Models for Neglected Disease Drug Discovery: Built with R / Shared using Shiny (Paul Kowalczyk, Data Scientist, Syngenta Biotechnology)
9:40 AM - 10:20AM Keynote: Healthcare Fraud Detection (Mark Kanner, Data Scientist, Aetna)
10:20AM -10:40AM Break
10:40 AM - 11:20AM Clinical Natural Language Processing with Deep Learning (Sadid Hasan, Senior Data Scientist, Philips Research North America)
11:20 AM - 12:00PM Data Science: Commercial options for biotech in rare diseases (Erick Diaz outten, Analytics Leader, Alexion Pharmaceuticals)
12:00 PM - 1:0PM Lunch Break
1:00PM - 1:40PM Reinventing Healthcare: Predicting Alzheimer’s Disease With Machine Learning (Ayin Vala, Chief Data Scientist, Foundation for Precision Medicine)
1:40PM - 2:20PM Data Science/ML/DL/AI use case/Technical Session
2:20PM - 3:00PM Keynote

3:00PM - 3:30PM Afternoon Break
3:30PM - 4:10PM Data Science/ML/DL/AI use case/Technical Session
4:10PM - 4:50PM Data Science/ML/DL/AI use case/Technical Session
4:50PM - 6:00PM

Keynote Panel: Solving Business Problems With Data Science
Claytonb Kim (Director Data Sciences, Tivo)
Stephen Gatchell (Director, Dell)

6:00PM - 7:30PM PM RECEPTION

Day -2 (October 17th 7:30AM-6:00PM)
Workshop

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

Day -3 (October 18th 7:30AM-6:00PM )

7:30 AM - 9:00 AM Registration
9:00 AM - 9:40 AM Data Science at Scale with Apache Spark 2.0 and Zeppelin Notebook (Carolyn Duby, Big Data Architect, Hortonworks)
9:40 AM - 10:20 AM Keynote : Customer Value Optimization (Matthew Shump, VP Data Science, Endurance International Group)
10:20AM - 10:40AM Break
10:40 AM - 11:20 AM Developing Self-serve Big Data Analytics Platform to Democratize Data (Indrasis Mondal, Director, Getty Images)
11:20 AM - 12:00 PM Data Cleanup using Natural Language Processing in Account-Based Marketing Automation (Feyzi Bagirov, Data Scientist, Metadata.io)
12:00 PM - 1:00PM Lunch Break
1:00 PM - 1:40PM How to build an exceptional career in Data Science (Adam Keene, Director, Harnham)
1:40 PM - 2:20 PM Data Science/ML/DL/AI use case/Technical Session
2:20 PM - 3:00 PM Cognitive Computing: Combining Linguistic Analysis with Semantics to Automatically Deliver Contextually Correct Metadata at the Enterprise Level (Bryan Bell, Executive Vice President, Expert System)
 
3:00PM - 3:30PM Break
3:30 PM - 4:10 PM Towards a better human-chatbot interaction (Aleksandra Przegalinska, MIT)
4:10 PM - 4:50 PM Data Science/ML/DL/AI use case/Technical Session
4:50 PM - 6:00 PM Keynote Panel: Solving Business Problems using Predictive Analytics


Day -3 (October 18th 7:30AM-6:00PM)
Workshop

7:30AM - 8:00 AM Registration & Networking
8:00AM - 12:00 PM Applied Tensorflow Workshop
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:45PM  Data Science/ML/DL/AI use case/Technical Session
2:00PM - 6:00PM  Data Science with R Workshop

NOTE: Agenda and speakers subject to change without notice

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