August 30 to 01 2016, Santa Clara, USA.

4th Annual Global Big Data Conference

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

Great America Ballroom JX

8:00 AM - 9:00 AM

Registration
9:00 AM - 9:40AM General Keynote Session: The Role Of CAO: A Practitioner’s Perspective (Zhongcai  Zhang, Chief Analytics Officer, New York Community Bancorp

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

9:40 AM - 10:20AM Big Data Breaking Big Healthcare Silos Through Partnerships (Sapan Anand, Director, Pfizer)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Predictive Modeling In Healthcare: A Brief Review Of Case Studies (Chris Franciskovich, Data Scientist, OSF HealthCare)
11:20 AM - 12:00PM Keynote: Analytic Solutions for Volatility and Variability of Biomedical Data (Todd Townsend,  Commissioner's Fellow, United States Food and Drug Administration)

 
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Using Data For A Better Patient Experience (Louis Martinez, CIO, OmniSYS)
1:40PM - 2:20PM Driving Yield And Quality Through Data Analytics (Dave Williamson, Director, Biogen)
2:20PM - 3:00PM Marketing Mix Modeling For Integrated Healthcare System (Matthias Krebs, Director, Novant Health)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Keynote: Big Data And Analytics: Best Data Usage To Answer Strategic Commercial Questions (Erick Diaz-Outten, Manager, Greer Labs)
4:10PM - 4:50PM Workforce Talent Analytics using Big Data: Predicting Retirement Events at “Fortune 6” Corporate Giant (Batool Haider, Data Scientist, UnitedHealth Group)
4:50 PM - 6:00 PM

Keynote Panel: Evolution of Big Data and Latest Trends
Russell Simmons (Global Data & Analytics Director, Shell)
Yannis Kotziagkiaouridis (Chief Analytics Officer, Wunderman)
Zhongcai  Zhang (Chief Analytics Officer, New York Community Bancorp)
Erick Diaz-Outten (Manager, Greer Labs)
Rishi Yadav (CEO, InfoObjects) - Moderator

6:00PM - 7:30PM PM Reception

Finance Track - Great America Ballroom K

9:40 AM - 10:20AM Keynote:  Big Data In Finance (Julia Bardmesser, Director, Deutsche Bank) 
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Power of Small Data (Ramkumar Ravichandran , Director of Analytics, VISA)
11:20 AM - 12:00PM Big Data - Present And Future In The Financial Services Industry (Michael Goodman, Managing Director, NTT Data)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Keynote: Streaming Analytics For Cyber Security (Scott Zoldi, Chief Analytics Officer, FICO)
1:40PM - 2:20PM Classification-Based Financial Markets Prediction Using Deep Neural Networks (Matthew Dixon, Founder, Quiota)
2:20PM - 3:00PM Keynote: Reading the Global Financial State of Mind (Ronnie Jansson, Director of Data Science, About.com(Investopedia))
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM How to use Big Data to Build Long Term Investment Strategies (Peter Andes, Managing Director, Motif Capital)

Data Science, Deep Learning, Machine Learning & Predictive Analytics Track -  Great America Meeting Room 2

9:40 AM - 10:20AM Scalable Data Science In Spark: Machine Learning And End-To-End Data Analysis Processes In Spark Using Python And R (Debraj Guhat, Senior Data Scientist, Microsoft)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Developing a Machine Learning Based Predictive Analytics Engine for Big Data Analytics (Ali Jalali, VP Predictive Analytics, Prime Technology Group)
11:20 AM - 12:00PM Hydrator: Open Source, Code-Free Data Pipelines (Jon Gray, CEO, Cask)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Deep Learning In The Accelerated Datacenter (Robert Crovella, Solution Architect, NVIDIA)
1:40PM - 2:20PM Building Diverse Data Science Teams (Drew Moxon, Director, NCSOFT)
2:20PM - 3:00PM Using NLP To Categorize And Find Similar Web Pages (Thomas Levi, Data Scientist, Unbounce)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Pyh3: Scalable And High Performance Graph Visualization In 3D Hyperbolic Space (Songxiao Zhang, Data Engineer, BuzzFeed)
4:10PM - 4:50PM KeynoteBringing Machine Learning to Every Corner of Your Business (Danny Lange, Head of Machine Learning, Uber)
 
4:50 PM - 6:00 PM Keynote Panel: Solving Business Problems With Data Science
Thomas Levi (Data Scientist, Unbounce)
Ali Jalali (VP Predictive Analytics, Prime Technology Group)
Alok Agarwal (CEO, Scry Analytics)
Todd Townsend (Commissioner's Fellow, United States Food and Drug Administration)
Dr KRS Murthy (CEO, I Cubed World) - Moderator
6:00PM - 7:30PM PM Reception

Workshop - Great America Meeting Room 1

8:30 AM - 9:00 AM Registration
9:00 AM - 12:00PM Spark 2.0: Spark Core & Scala Workshop (Mohammed Guller, Author of "Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis" &  Principal Architect, Glassbeam)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM Advanced Spark 2.0 Workshop (Spark SQL) (Mohammed Guller, Author of "Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis" &  Principal Architect, Glassbeam)
 

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 31 8:00AM- 6:00PM )

Great America Ballroom JX

8:00 AM - 9:00 AM

Registration
9:00 AM - 9:40AM General Keynote Session:  Big Data Trends In The Insurance Industry (Meghan Anzelc, VP Predictive Analytics, Zurich North American)

Industry Vertical Use Cases Track
Insurance, Telco, Auto, Energy  & eCommerce Track - Great America Ballroom JX

9:40 AM - 10:20AM A Reinsurer's Perspective - Understanding Customer Behaviour (Daniel Ryan, Managing Director, Swiss Re)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Turning Digital Disruption Into Innovation In Insurance (Patricia Saporito, Analytics Leader, SAP)
11:20 AM - 12:00PM Autonomous Driving and AI (Teymur Sadikhov,  Senior Vehicle Intelligence Researcher, Mercedes-Benz)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM  Large-Scale Multimodal Automated Document Categorization in eCommerce (Anurag Bhardwaj, Data Scientist, Quad Analytix)
1:40PM - 2:20PM Sensor Overload! Taming The Raging Manufacturing Big Data Torrent (Nicholas Berg, Director, Seagate)
2:20PM - 3:00PM Keynote: Big Data Trends In Insurance Space (Conor Jensen, VP Predictive Analytics, Zurich NA)
3:00PM -3:30PM Snack Break
3:30PM - 4:10PM Keynote: Big Data Strategy for enabling IoT (Prashant Tyagi, Director Software, GE)
4:10 PM - 5:00 PM Keynote Panel: Big Data Monetization
Joseph Arsenault (Manager, Time Warner Cable)
Rajeeve Kaul (Vice President of Products, Essendant)
Patricia Saporito (Analytics Leader, SAP)
DR KRS Murthy( CEO, I Cubed World)

Retail/E-Commerce/M-Commerce Track -Great America Ballroom K

9:40 AM - 10:20AM Customer 360 including customer lifetime value and customer churn (Rich Fox, Chief Analytics Officer, BikeBandit)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Experience Applying Predictive Analytics In Multi Channel Retail (Rajeeve kaul, Vice President Of Products, Essendant)
11:20 AM - 12:00PM Spell correction at eBay (Utkarsh Porwal, Data Scientist, Ebay & Roberto Konow, Data Scientist, Ebay)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Bridging The Online-To-Offline Attribution Gap (Donnie Yancey, COO, Empyr)
1:40PM - 2:20PM Keynote: Data Science: The Walmart Way (Ashutosh Gupta,
2:20PM - 3:00PM Machine Learning in Retail (Bharath Mundlapudi, Founder, Orzota)
3:00PM -3:30PM Snack Break
3:30PM - 4:10PM Impact Of Big Data And Machine Learning On E-Commerce (Prashant Mishra, Director, Aaxis Commerce)

Data Science, Deep Learning, Machine Learning & Predictive Analytics Track - Great America Meeting Room 2

9:40 AM - 10:20AM Keynote: Data Science With Java (Michael Brzustowicz, Senior Data Scientist, Google)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Overview of Artificial Intelligence and Its Use in Analyzing “Voice of Cancer Patients” (Alok Aggarwal, CEO, Scry Analytics)
 
 
11:20 AM - 12:00PM Keynote: Data Science Under Water: How Predictive Analytics Boosts The Customer Experience At The Georgia Aquarium (Beach Clark, VP Data Science, Georgia Aquarium)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Keynote: Empowering Customer Success At LinkedIn With Advanced Predictive Analytics And Great Visualization (Natalie Han, Manager, Linkedin)
1:40PM - 2:20PM Validation Methodology Of Large Unstructured Unsupervised Learning Systems (Lawrence Chernin, Director, Snapwiz)
2:20PM - 3:00PM Application of Advanced Data Science and Machine Learning in modeling device usage models and tracking user behavior (Bhairav Mehta, Manager, Apple)
3:00PM -3:30PM Snack Break
3:30PM - 4:10PM MLeap: Release Spark ML Models (Hollin Wilkins, Principal Architect, Combust.ML)
4:10PM - 4:50PM Using Bayesian Optimization To Tune Machine Learning Models (Scott Clark, CEO, SigOpt)
4:50 PM - 6:00 PM Keynote Panel: Impact of Machine Learning Systems in Industries
Teymur
sadikhov
Sadikhov  (Senior Vehicle Intelligence Researcher, Mercedes-Benz)
Bhairav Mehta (Manager, Apple)
Hollin Wilkins (Principal Architect, Combust.ML)
Xinghua Lou (AI Research & Commercialization Lead, Vicarious)
Alok Agarwal ( CEO, Scry Analytics) - Moderator

Workshop 1 - Meeting Room 1

8:15 AM - 8:30 AM Registration
8:30 AM - 12:30PM Hands-on Machine Learning using Python workshop Workshop (Sudhir Wadhwa, CTO, DataTiles.io)
12:30 PM - 1:00PM Lunch Break
1:00PM - 3:00PM Anomaly Detection: Techniques and Best Practices Workshop (Sri Krishnamurthy, CEO, QuantUniversity)
3:00PM - 5:00PM Introduction to text analytics with spark workshop
(John Ternent, Sr Principal Technical - Big Data, Clarity Solution Group)

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 - 3 ( Sep 1 8:00AM- 6:00PM )

Great America Ballroom JX

8:00 AM - 9:00 AM

Registration
9:00 AM - 9:40AM General Keynote Session:  Challenges of creating and maintaining data architectures for People Analytics (Hector Garcia, Data Engineer, Facebook)
4:10 PM - 5:00PM General Keynote SessionUnlock the Power of Your Data(Anand Oswal, SVP, Cisco

Industry Vertical Use Cases Track - Great America Ballroom JX

9:40 AM - 10:20AM Keynote : From Machine Data To Insight: Improving Machine Up-Time By Exploiting Advanced Analytics Solutions (Behrang Asadi, Chief Scientist, Danaher Corp)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Scientifically Robust And Practical Big Data In Home Health Care (Martin Howard, CIO, Amedisys)
11:20 AM - 12:00PM Keynote: Prescriptive Analytics in E-Commerce Remarketing (Joe Suh, Product Management, Samsung)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Keynote: Leveraging Geonetics Through Geovision Technology (Michael Mathews, CIO , Oral Roberts University)
1:40PM - 2:20PM Keynote: Classification Using Crowdsourced Data At Scale (Jeff Palmucci, Director, Tripadvisor)
2:20PM - 3:00PM A 10-Year Data Science View Of The Complexity Of Cancer (Sanjay Joshi, Chief Technology Officer, EMC)
3:00PM -3:30PM Break
3:30PM - 4:10PM Search By Example In Social Networks (Vijay Dialani, Staff Software Engineer, LinkedIn)

Big Data Track -Great America Ballroom K

9:40 AM - 10:20AM Autonomous Analytics On Streaming Data At Scale (Claudiu Barbura, VP Engineering, Ubix)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Focusing On Time-To-Value In Big Data Deployments (Ravikant Iyer, Director, Coho Data)
11:20 AM - 12:00PM Apache Hadoop Is Retro: Unlocking Business  From Sports to Safety while real time data matters (Carl Mower, VP Engineering, Zebra Technologies)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Session Real-Time Traffic Analysis Using Big Data, And How To Derive Meaningful Insights (Pranav Singh, Manager, SoundHound)
1:40PM - 2:20PM Lessons Learned From Executing IT Projects (Helen Norris, VP Technologies, Chapman.edu)
2:20PM - 3:00PM Apache Hadoop Is Retro: Unlocking Business Value (John Mertic, Director, The Linux Foundation)

Data Visualization Innovation/Big Data Track -Great America Meeting Room 2

9:40 AM - 10:20AM Visual Rules of the Road for Big Data Practioners (David Fisher, Solution Architect, Tableau)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Targeting Your Audience: Data Visualization to Communicate Data Insights (Randy Krum, CEO, Infonewt)
11:20 AM - 12:00PM Data Visualization in Practice (Ian Lin, Lead Data Visualization Designer, realtor.com)
 
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Data Visualization in the Age of Mobile and Wearables (Greg Nudelman, CEO, DesignCaffeine)
1:40PM - 2:20PM Instant and Personal: Searching Your Network at LinkedIn (Shakhina Pulatova, Product Management Leader, Linkedin)
2:20PM - 3:00PM Keynote: Uses of big data by a non-profit engaged in conducting events funded in part by third party sponsors (Thomas Grilk, CEO, Boston Athletic Association/Boston Marathon)
3:00PM -3:30PM Break
3:30PM - 4:10PM Keynote: Leveraging analytics to improve predictability and reduce schedule slips of R&D projects (Dorian  Pyle, Data Scientist, McKinsey)

Workshop 1 -  Great America Meeting Room 1

8:15 AM - 8:30 AM Registration
8:30 AM - 12:00PM Graph Databases: Hands-on Intro to Neo4j and a relationship-first data approach (Ryan Boyd, Software Engineer, Neo4j)
12:00 PM - 1:00PM Lunch Break
1:00PM - 5:00PM Digging Deep Data in MongoDB: Workshop (Nuri Halperin, Principal, Plus N Consulting)

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

NOTE: Agenda and speakers subject to change without notice

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