August 29 to 31 2017, Santa Clara, USA.

5th Annual Global Big Data Conference

Day -1 ( Aug 29 8:00AM- 7:30PM )

Great America Ballroom JX

8:00 AM - 9:00 AM

Registration
9:00 AM - 9:40AM General Keynote Session : Spatio-temporal Forecasting at Uber Scale (Chintan Turakhia, Manager, Uber)

Industry Vertical Use Cases Track
Blockchain/Fintech Track : Great America Ballroom JX

9:40 AM - 10:20AM The evolving landscape of crypto-assets and blockchain (Hu Liang, Founder Stealth Startup & Senior Vice President, Ex-State Street Bank)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Use of AI and Blockchain in IoT (Ahmed Banafa, IoT Expert, Author & Faculty, San Jose State University)
11:20 AM - 12:00PM "War for Talent – the Coming Blockchain Competition” (Bryant Nielson, Founder, The Blockchain Academy)
12:00 PM - 1:00PM

Lunch Break

1:00PM - 1:40PM Aplication of Ensemble Machine Learning and Big data to help Financial Institutions detect payment fraud & prevent crime losses and reduce false positives (Suman Kumar, Chief Analytics Officer, Zafin)
1:40PM - 2:20PM Big data, machine learning and capital markets (Prabhat Vaish, Executive Director, Mizuho Capital Markets)
2:20PM - 3:00PM Fraud Detection in Banking & Healthcare: Difference from Data Science Perspective (Satish Kumar Simhadri, VP Data Science& Analytics, Rang Technologies)
 
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Keynote: Making Sense Of Bank Networks Using High-Dimensional Classification Techniques (Ivan Sergienko, Director Data Science, Scotiabank)
4:10PM - 4:50PM Enterprise Monitoring As A Service -- Real Time Metrics Collection, Correlation & Anomaly Detection (Suqiang Song, Big Data Architect, MasterCard)
 
4:50PM - 6:00PM

Keynote Panel: The Future of Fintech
Prabhat Vaish, Executive Director, Mizuho Capital Markets
Suqiang Song, Big Data Architect, MasterCard
Purva Sule, Director, BMO Financial Group

6:00PM - 7:30PM PM Reception

Industry Vertical Use Cases, General  & Technical Track - Great America Ballroom K

9:40 AM - 10:20AM   General Track: How we supercharged our sales with AI (Samar Singla, CEO, Jugnoo)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM General Track: The Analytics Of Things (Bill Franks, Chief Analytics Officer, International Institute For Analytics)
11:20 AM - 12:00PM Automotive Track: Big Data with Self Driving Car (Chen Jin, Senior Software Engineer, Jingchi)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Healthcare Track: Big Data / AI / ML in Healthcare (Rajib Ghosh, Chief Data Officer, Community Health Center Network)
1:40PM - 2:20PM Retail Track:   Improving Revenue And Bottom Line By Aligning Analytics Activities With Business Problems: Case Studies From The Retail/Consumer Sectors (Ujjwal Sinha, CEO, Ex-Target(VP Analytics) & Management Foresight)
 
2:20PM - 3:00PM Keynote - Telco Track: Using OR and Big Data in the FCC's Incentive Auction (Sasha Javid, Chief Data Officer, FCC)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Healthcare Track: Augmented Intelligence to Improve Health Care Consumer Experience at Cambia (Lin Chen, Software Engineer, Cambia Health Solutions)
 
4:10PM - 4:50PM Technical Track: Bullet: A Real Time Data Query Engine (Michael Natkovich, Director, Yahoo Inc. & Akshai Sarma, Software Engineer, Yahoo/Oath)
4:50PM - 6:00PM Keynote Panel: The Future of CDO/CAO
Baris  Karakullukcu (Chief Data and Analytics Officer, Turkcell)
Sasha Javid (Chief Data Officer, FCC)
Rajib Ghosh (Chief Data Officer, Community Health Center Network)
Bill Franks (Chief Analytics Officer, International Institute For Analytics)

Artificial Intelligence, Data Science, Deep Learning, Machine Learning & Predictive Analytics Track -  Great America Meeting Room 1

9:40 AM - 10:20AM Keynote: Getting Started With AI On Amazon Web Services (Joseph Spisak, Head of AI Partnerships, Amazon)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Distributed Deep Learning Optimizations (Geeta Chauhan, CTO, SVSG)
11:20 AM - 12:00PM How To Implement A Standardized Process In Execution And Delivery Of Data Science Solutions: Microsoft’s Team Data Science Process (TDSP) (Debraj Guhathakurta, Senior Data Scientist, Microsoft)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Debunking the myth of 100x GPU vs. CPU: efficient training and inference of neural networks on commodity CPUs and embedded devices (Victor Jakubiuk, Chief Science Officer, OnSpecta)
 
1:40PM - 2:20PM Keynote: Big Data Disruption In The World Of Autonomous Vehicles And AI (Sudha Jamthe, CEO, IoT Disruptions & Stanford)

2:20PM - 3:00PM Keys to Designing a Great Chatbot (Stefan Kojouharov, Founder, Chatbot's Life)
 
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Slow, Stuck, or Runaway Big Data Apps? Learn how AI can help with your Big Data Application and Operations Challenges (Bala Venkatrao, VP, Unravel Data)
 
4:10PM - 4:50PM How to Pitch and Deliver Data Science to the Business (Tim Long, Director Data Science, Micron)
 
4:50 PM - 6:00 PM Keynote Panel : The Future of AI
Jayesh Govindarajan (VP Data Science, Salesforce)
Aamer Charania (Director, Humana)
Tim Long (Director Data Science, Micron)
Karthik Ramasamy (Manager Data Science, Uber)
Aarthi Srinivasan (Director, Target)
6:00PM - 7:30PM PM Reception

Workshop - Great America Meeting Room 2

8:30 AM - 9:00 AM Registration
9:00 AM - 12:00PM Workshop :  Jumpstart with Apache Spark 2.x on Databricks (Jules Damji, Apache Spark Community Evangelist & Developer Advocate, Databricks)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 5:00PM  Workshop :  Jumpstart with Apache Spark 2.x on Databricks (Jules Damji, Chief Evangelist, Databricks) (Contd..)
 

Office Hours with Executive Speakers- Great America Meeting Room 3

8:00 AM - 8:30 AM Registration
8:30 AM - 12:00PM Office Hours with Executive Speakers
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM Office Hours with Executive Speakers

Day -2 (Aug 30 8:00AM- 6:00PM )

Great America Ballroom JX

8:00 AM - 9:00 AM

Registration
9:00 AM - 9:40AM General Keynote Session:  Business And Investment Opportunities At The Intersection Of AI And IoT (Anupam Rastogi, Investor, Nokia Growth Partners (NGP))
 

Industry Vertical Use Cases Track
Healthcare, Pharma & BioTech Track - Great America Ballroom JX

9:40 AM - 10:20AM Reinventing Healthcare: Predicting Alzheimer’s Disease with Machine Learning (Ayin Vala, Chief Data Scientist, Foundation for Precision Medicine)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Practical Deep Learning: Use Across Industries (Leo Tam, Deep Learning Community Manager & Sr. Solutions Architect, Nvidia)
11:20 AM - 12:00PM Empowering Patients To Be Consumers Using Data Science (Jason Wreath, CEO, HIK)   
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Why Big Data Projects Fail In Healthcare (Sam Biswal, CEO, Scalable Health)
1:40PM - 2:20PM Clinical ABC (Fangde Liu, Principal Technology Architect, Imperial College London
2:20PM - 3:00PM Building A Modern Healthcare Data Platform (And Organization) (Julius Bogdan, Director, SCL Health)
3:00PM -3:30PM Snack Break
3:30PM - 4:10PM Keynote: Big Data And Predictive Analytics In Drug Development (Jamie Powers, Director, PerkinElmer Informatics)  
4:10 PM - 4:50 PM Data Management: Transforming Big Data Into Actionable Insights (Scott Marshall, Managing Director, Precision for Medicine)
4:50 PM - 6:00 PM Keynote Panel: The Future of Healthcare
Taposh Roy (Manager, Kaiser Permanente)
Ayin Vala (Chief Data Scientist, Foundation for Precision Medicine)
Jamie Powers (Director, PerkinElmer Informatics)

 Industry Vertical Use Cases Track -Great America Ballroom K

9:40 AM - 10:20AM Keynote: Media Track: From Stats To Movie-Style Story : How To Get Execs To Follow Your Data (Dave Decelle, Director, Netflix & Ted Frank, CEO, Backstories Studio)

10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Hiring/HR Track: Practical Data Science And Analytics At Monster (Jay Feng , Data Scientist, Monster.Com)
11:20 AM - 12:00PM Hiring/HR Track: Leveraging people data in HR (Amit Chowdhary, VP, Visa)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Insurance Track:  Artificial Intelligence, Machine Learning & Big Data In The Real World (Aamer Charania, Director, Humana)
 
1:40PM - 2:20PM Using A Data Catalog To Lift Your Big Data Out Of The Fog (Todd Goldman, Chief Marketing Officer, Waterlinedata)
2:20PM - 3:00PM Why You, Your Partners and Your Customers Don't Make Data Driven Decisions (Sheridan Hitchens, VP, Data Products, Ten-X.Com)
3:00PM -3:30PM Snack Break
3:30PM - 4:10PM Batch and Streaming Analytics for Prescriptive & Predictive Solutions  (Gurudev Karanth, Founder, Intulog)
 
4:10PM - 4:50PM Keynote Education Track: How Pearson is using big data and data visualization to help transform education (Jason Lokkesmoe, Director, Pearson)
4:50PM - 6:00PM Keynote Panel: The Future of Big Data
Ravi Parmeswar, Vice President Of Products, Johnson & Johnson

Artificial Intelligence, Data Science, Deep Learning, Machine Learning & Predictive Analytics Track - Great America Meeting Room 1

9:40 AM - 10:20AM Applying Deep Learning for predictive analytics (Krishnan Ramanujam, VP Technologies & Sunil Karkera, Global Head of Digital Interactive, TCS)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Deep learning on transactional time-series data to optimize supply chains and maximize margins (Moataz Rashad, CEO, DeepVu
11:20 AM - 12:00PM Keynote: How Pinterest Uses Machine Learning To Achieve ~200M Monthly Active Users (Yunsong Guo, Staff Software Engineer, Pinterest)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Text is everywhere and growing rapidly, yet current natural language processing only scratches the surface for extracting knowledge (Ryan Welsh, CEO, Kyndi)
 
1:40PM - 2:20PM Keynote: Data Science and Fashion (Suman Bhattacharya, Senior Data Scientist, Uber)
2:20PM - 3:00PM Advanced Analytics And AI In The Big Data World (Ted Malone, Chief Big Data Evangelist, Microsoft)
3:00PM -3:30PM Snack Break
3:30PM - 4:10PM 100 Times Faster, 100 Times Smarter: The Real Business Impact of Augmented Intelligence (Amy Guarino, COO, Kyndi)
4:10PM - 4:50PM AI in the job of home security (George Platon, CIO & CTO, BuddyGuard GmbH)
4:50 PM - 6:00 PM Keynote Panel: Leveraging Machine Learning and advanced analytics to deliver business value
Yunsong Guo (Staff Software Engineer, Pinterest)
Suman Bhattacharya (Senior Data Scientist, Uber)
George Platon (CIO & CTO, BuddyGuard GmbH)

Industry Vertical Use Cases & Technical Track - Great America Meeting Room 2

9:40 AM - 10:20AM AI Track: Evolution of data science and data engineering in Paas (Brad Pflum, Manager, Narvar)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM AI Track: Large-Scale Modular Acceleration for AI, Search, and In-Memory Computing (Bharadwaj Pudipeddi, CTO, NVXL Technology)
11:20 AM - 12:00PM Finance Track: To Secure And Scale-Out Data Science Notebook For Spark Using Docker And Kubernetes (Joy Chakraborty, Big Data Architect ,Bloomberg L.P.)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Scalable Monitoring Using Apache Spark and Friends (Utkarsh Bhatnagar, Senior Software Engineer, Tinder)
1:40PM - 2:20PM 5 Lessons learned from Big Data / IoT platform production case studies (Toru Shimogaki, Big Data Architect, NTT DATA Corporation)
2:20PM - 3:00PM HTAP - Hybrid Transactional and Analytical Processing, Next Big Thing in Big Data (Shailesh Manjrekar, Sr Director, Vexata)
3:00PM -3:30PM Snack Break
3:30PM - 4:10PM Interactive Analytics with Apache Hive and Druid (Slim  Bouguerra, Sr Software Engineer, Hortonworks)
4:10PM - 4:50PM Optimizing Bill of Materials Costs With Big Data Analytics (Sandra Guija, Senior Software Engineer & Lilun Cheng, Solution Architect,  Intel)
4:50 PM - 6:00 PM Keynote Panel: Investment Trends

Oil & Gas Track, Finance Track  and Technical Track - Great America Meeting Room 3

1:40 PM - 2:20PM Practical Application Of AI & IIoT In Oil And Gas Industry (Derick Jose, Founder, Flutura)
2:20 PM - 3:00PM Finance Track :  Big Bank Disrupt: Open Banking and the Future of Your Wallet (Carter Smyth, CTO, Silicon Valley Software Group)
3:00PM -3:30PM Afternoon Break
3:30 PM - 4:10PM The Five Ps Of People Analytics (Plus A Bonus Sixth P) (Robert Lanning, Head Of HR Analytics & Research, Andeavor (Formerly Tesoro Corporation))
4:10PM - 4:50PM Machine learning at the human brain scale: Staying at the frontier with novel hardware (Michael Andregg, Founder, Fathom Computing)
 
4:50PM - 5:30PM Building & Hydrating Data Lakes (Issam Hijazi, Big Data Architect, Zaloni)
 

Workshop 1 - Meeting Room 3

9:00AM - 12:30PM Workshop Natural Language Processing (Karunakar Singamreddy, CEO, Pamoru)

Office Hours with Executive Speakers- Great America Meeting

8:00 AM - 8:30 AM Registration
8:30 AM - 12:00PM Office Hours with Executive Speakers
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM Office Hours with Executive Speakers

Day - 3 ( Aug 31 8:00AM- 6:00PM )

Great America Ballroom JX

8:00 AM - 9:00 AM

Registration
9:00 AM - 9:40AM General Keynote Session: Why Big Data and AI Will Disrupt Healthcare Over the Next Five Years (John Mattison, CMO, Kaiser Permanente)

Retail Track & Blockchain Track - Great America Ballroom JX

9:40 AM - 10:20AM Keynote: Enriching An ECommerce Catalog Using Deep Learning (Ajinkya More, Staff Data Scientist, WalmartLabs)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Scaling Data Science At Stitch Fix (Stefan Krawczyk, Data Science Team Lead, Stitch Fix)
11:20 AM - 12:00PM How Data Science Is Shaping The Future! (Mohammad Shokoohi-Yekta, Data Scientist, Apple)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Supply Optimization at Instacart (Jagannath Putrevu, Senior Data Scientist, Instacart)
1:40PM - 2:20PM Keynote: How To Build A Search Engine From Scratch? (Jennifer Prendki, Head of Data Science,  Atlassian)
2:20PM - 3:00PM  HP Wearables - Our Story (Christine Hawkins, Director, HP Inc)
3:00PM -3:30PM Break
3:30PM - 4:10PM Initial Coin Offerings 101 or Blockchain 101 (Patrick Baron, Head of Business Development, Ambisafe)
4:10PM - 4:50PM Big Data, Blockchain, and the Decentralized Energy Grid  (Ryan  Molecke, CTO, EnLedger)
4:50PM - 6:00PM Keynote Panel: The Future of Retail
Ajinkya More (Staff Data Scientist, WalmartLabs)
Christine Hawkins (Director, HP Inc)

Industry Vertical Use Cases Track -Great America Ballroom K

9:40 AM - 10:20AM IoT Track: How To Do IoT Machine Learning At The Edge Using Open-Source (Kilton Hopkins, Professor, Level)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM IoT Track: Local Computing For Big Data (Ajay Malik, CTO & Founder, Lunera)
11:20 AM - 12:00PM Keynote Healthcare Track: Data Science In Healthcare: Key Challenges & Opportunities (David Talby, Chief Technology Officer, Atigeo)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Healthcare Track: Aura Machine Learning Platform and Use Cases in Healthcare, Finance and Telco (Jian Chang, Data Scientist, AsiaInfo)
1:40PM - 2:20PM Healthcare Track: Building Genomic Data Processing and Machine Learning Worflows using Apache Spark (Anupama Joshi, Head of Technology, Einomics)
 
2:20PM - 3:00PM Keynote Drone Track: Drone Net - Multi-modal sensor network for sUAS shared air space safety and security (Sam Siewert, Assistant Professor, Embry Riddle Aeronautical University)
3:00PM -3:30PM Break
3:30PM - 4:10PM General Track: Session System of Intelligence - Platforms - Build Vs Buy - Don't build what is foundational; Build only which generates business value (Rajaraman Srinivasan, CTO, Cognizant)
 
4:10PM - 4:50PM Market Mix Modeling: Search For The Perfect Mix (Amit Satsangi, Data Scientist, Oakwood Worldwide)
4:50PM - 6:00PM Panel Keynote

AI Track -Great America Meeting Room 2

9:40 AM - 10:20AM Embedded Deep Learning: Deep Learning For Embedded Systems (Siddha Ganju, Data Scientist, Deep Vision)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM AI, Bots, and Search (Grant Ingersoll, CTO, Lucidworks)
11:20 AM - 12:00PM Using Genetic Algorithms to Optimize Recurrent Neural Networks (Joseph Schneible, Software Engineer, Technica)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Hadoop Ecosystem Boosts Tensorflow And Machine Learning Technologies (Wangda Tan, Staff Software Engineer, Hortonworks)
1:40PM - 2:20PM Distributed Deep Learning At Scale On Apache Spark With BigDL (Jennie Wang, Software Engineer, Intel)
2:20PM - 3:00PM Deriving Actionable Insights From High Volume Media Streams (Suneel Marthi, Data Scientist, Redhat)
3:00PM -3:30PM Break
3:30PM - 4:10PM Serving Predictive Models With Redis (Tague Griffith, Author, Redis Labs)
4:10PM - 4:50PM Adaptive Reinforcement Learning for Connected Devices (Pranjal Daga, Data Scientist, Cisco Systems)
 
4:50PM - 6:00PM Panel Discussion : The road to becoming a Data Scientist
Siddha Ganju (Data Scientist, Deep Vision)
Tague Griffith (Author, Redis Labs)

Office Hours with Executive Speakers- Great America

8:00 AM - 8:30 AM Registration
8:30 AM - 12:00PM Office Hours with Executive Speakers
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM Office Hours with Executive Speakers

NOTE: Agenda and speakers subject to change without notice

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