March 27 to 29 2017, Santa Clara, USA.

Global Data Science Conference

Day - 1 (March 27th 7:30AM-6:30PM)
Artificial Intelligence(AI) Track  Room 204 & 212

7:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Explainable AI using brain-motivated neural networks (Tsvi Achler, CEO, Optimizing Mind)
9:00 AM - 9:40AM Importance of Explanations in Decisions and Machine Learning (Jari Koister, VP, FICO)
9:40 AM - 10:20AM Keynote: 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)
10:40 AM - 11:20AM How to uncover the deep and rich insights in mailboxes? (Noble Kuriakose, VP Data Science, EasilyDo)
11:20 AM - 12:00PM Fast, Scalable, Reusable: A new perspective on production ML/AI systems (Ekrem Aksoy, CTO, Hiddenslate)
11:20 AM - 12:00PM Use Case Track: AI and Big Data in Commerce (Manindra Majumdar, CEO, Gofind.AI )
12:00 PM - 1:00PM 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)
1:00PM - 1:40PM Applying machine Learning technique to build investment strategies (Eitan Cadouri, HNL Ventures)
1:40PM - 2:20PM Keynote: Beyond Chatbots: The future of A.I. and business (Will Murphy, VP, Talla)
1:40PM - 2:20PM An Evaluation of Five Deep Learning Frameworks (Alok Aggarwal, CEO, Scry Analytics)
2:20PM - 3:00PM Use Case Track: AI in Medicine(Anthony Chang, Director, CHOC Children's Medical Intelligence and Innovation Institute)
2:20PM - 3:00PM Use Case Track: Image Quality Assessment using Deep Learning (Divya Beeram, Data Scientist, Intuit)
3:00PM - 3:30PM Afternoon Break
3:30PM - 4:10PM How Cognitive Computing and Augmented Intelligence Is Changing The Data-Driven World? (Shailesh Manjrekar, Director, Western Digital)
3:30PM - 4:10PM Use Case Track : AI in commerce (Andy Pandharikar, CEO, COMMERCE.AI)
4:10PM - 4:50PM Use Case Track:  AI as a Service at Scale: Retail Case Study(Eldar Sadikov, CEO,  Jetlore)
4:10PM - 4:50PM How to Become a Self-Driving Car Engineer (David Silver, Self-Driving Car Lead, Udacity)
4:50PM - 6:00PM

Keynote Panel: The Future of AI 
Anil Vasudeva ( President, Imex Research) - Moderator
Abhi Arunachalam (VC Investor, Battery Ventures)
Jari Koister (VP, FICO)
Eldar Sadikov(CEO, Jetlore)
Manindra Majumdar (CEO, Gofind.AI)
Alok Aggarwal (CEO, Scry Analytics)
Tsvi Achler (CEO, Optimizing Mind)

6:00PM - 6:30PM When It Comes To Data Analytics, Stay Hungry (Rick Pechter, Director, MicroStrategy)

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

7:30AM - 8:00 AM Registration & Networking
8:00AM - 9:00 AM Fast Data: Big Data Analytics Using Streams  (Vladimir Bacvanski, Founder, SciSpike) Room 206
9:00AM - 12:00 PM Spark Workshop (Spark Core) (Sujee Maniyam, Big Data Architect, Elephant Scale) Room 206
8:30AM - 12:30 PM Workshop : Text Modeling with R and Python (Frank Evans, Data Scientist, Exaptive) Room 201
9:00AM - 12:00 PM Workshop : AI for IoT (Anusua Trivedi, Data Scientist, Microsoft) Room 205
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) Room 206
1:00PM - 6:00PM Neo4j Graph Database Workshop for the Data Scientist Using Python (William Lyon, Software Engineer, Neo4j) Room 201
1:00PM - 4:00PM Applied Machine learning using H2O, python and R Workshop (Avkash Chauhan, VP, H2O.ai) Room 205

Day -2 (March 28th 7:30AM-7:30PM ) Room 204

7:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Industrial Digital Twins – Concept, Value and Approach (Kevin Yang, Director & Saurabh Thapliyal, Data Scientist, GE Digital)
9:40 AM - 10:20AM Keynote:  Advancing Cancer Care with Distributed Rapid Learning (Wolfgang Wiessler , Manager, 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,
Postdoctoral Researcher, 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 Keynote: How Enterprise Artificial Intelligence is Transforming Business Operations Globally (Matthew Denesuk, Chief Data Science Officer, Noodle.ai)

3:00PM - 3:30PM Afternoon Break
3:30PM - 4:10PM Content Data Science at Netflix (Manuel Arora, Data Scientist, Netflix)
4:10PM - 4:50PM Machine Learning & Analytics: Applications in FinTech (P SUBRAHMANYAM, Professor, Stanford)
4:50PM - 6:00PM

Keynote Panel: Solving Business Problems With Data Science
Mohak Shah (Head of Data Science, Bosch Research)
Michael Tamir (Chief Scientist, TAKT)
David Talby(CTO, Atigeo)
Ekrem Aksoy(CTO, Hiddenslate)
Bharath Mundlapudi (Founder, Enterprise Minds) - Moderator

6:00PM - 7:30PM PM RECEPTION

Day -2 (March 28th 7:30AM-6:00PM) Room 206
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 7:30AM-6:00PM ) Room 204

7:30 AM - 9:00 AM Registration
9:00 AM - 9:40 AM Bots and the rise of Webviews (Nagendra Kumar, Lead Engineer, Facebook)
9:40 AM - 10:20 AM Keynote: 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 Best Trade-off Point Algorithm for Efficient Resource Provisioning in Hadoop (Peter Nghiem, Computer Science and Eng Dept., Santa Clara University)
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 - 3:30PM Break
3:30 PM - 4:10 PM Causal Modeling using software called TETRAD V (Suchitra Abel, School of Engineering, Santa Clara Univserity)
4:10 PM - 4:50 PM Smart Bots for Frustration-Free Ordering: Balancing Conversational with Buttons (Ashutosh Dubey, Founder, 12 Labs)
4:50 PM - 6:00 PM Keynote Panel: Solving Business Problems using Predictive Analytics
Feyzi Bagirov (Professor, Faculty of Analytics, Harrisburg University)
James Taylor (CEO, Decision Management Solutions)
Adrian Santos (Product Management, Apple)
Suchitra Abel  (School of Engineering, Santa Clara Univserity)
P SUBRAHMANYAM (Professor, Stanford)
Jack McCallum (CEO, IntegerHealth Technologies)
Prateek Joshi (Founder, Pluto AI)- Moderator

Day -3 (March 29th 7:30AM-6:00PM) Room 206
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
1:00PM - 1:45PM  Hollywood Data Science (William High, Senior Data Scientist, Netflix)
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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