April 02 to 04 2018, Santa Clara, USA.

Global Predictive Analytics Conference

Day -1 (April 2nd 8:00AM-7:00PM )

8:00 AM - 9:00 AM Registration
9:00 AM - 9:40AM Moving To A Predictive & Prescriptive Analytics Model (Kevin Sieck, Director - Digital Analytics & Innovation, LatentView Analytics) (Room 212)
9:40 AM - 10:20AM Insurance Track: Predictive Analytics And Insurance - Now You See It, Now You Don't (Chet Gladkowski, Founder, GAPro) (Room 212)
10:20AM -10:40AM Break
10:40 AM - 11:20AM Market Mix Modeling: The Evolution And The Challenges (Amit Satsangi, Data Scientist, Oakwood Worldwide) (Room 212)
11:20 AM - 12:00PM Keynote:  AI Is The New BI: How Human-Machine Collaboration Leads To Better Business Results (Ketan Karkhanis,  GM & SVP Analytics, Salesforce)   (Room 212)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Healthcare Track: How To Transform Healthcare And Manufacturing Through Predictive Analytics. (Mary Vincent,  Head of Technology, Green Star Labs) (Room 212)
1:40PM - 2:20PM Healthcare Track: AI Data Strategy Opportunities (Dipti Patel-Misra, Chief Data Officer, Vituity) (Room 212)
2:20PM - 3:00PM

Healthcare Track: Predictive Analytics For Payer And Providers In Healthcare (Sriram Vishwanath,  Data Scientist, University of Texas) (Room 212)

3:00PM - 3:30PM Afternoon Break
3:30PM - 4:10PM Keynote: Role Of Predictive Modelling In Credit Underwriting (Rajat Agarwal, Senior Director, LendingClub(Room 212)
4:10PM - 4:40PM Optimize the Logic A Little, Shorten the Execution Time A Lot ----An Introduction to New Combination Processing Method  (Kaiqing Fan, Developer Advocate, PNC Bank) (Room 212)
4:40PM - 5:10PM Cognitive Computing And Codifying Tribal Knowledge (Lillian Taylor, Founder, GeekOut Grounds) (Room 212)
6:00PM - 7:00PM PM RECEPTION

Day - 1 (April 2nd Workshop Track)

9:00AM - 12:00 PM Workshop: Getting Started with IoT Prototyping  (Sam Tawfik, Director, Level) (Room 207)
12:00 PM - 1:00PM Lunch Break
1:40PM - 3:00PM Workshop: Enancing NLP with Deep Neural Networks (Luis Serrano, Manager, Udacity) (Room 207)
3:00PM - 3:30PM Break
3:30PM - 6:00PM Workshop: Enancing NLP with Deep Neural Networks (Luis Serrano, Manager, Udacity) (Contd..) (Room 207)

Day -2 (April 3rd 8:15AM-6:00PM )

8:15 AM - 9:00 AM Registration
9:00 AM - 9:40 AM Developing Predictive Intelligence On Emotional Connection To Build And Activate Sustainable Growth Strategies (Dave Cameron, VP Predictive Analytics, Motista)  (Room 212)
9:40 AM - 10:20 AM Finance Track: Predictive Customer Journeys In The Financial Services Industry (Robin Way, CEO, Corios) (Room 212)
  
10:20AM - 10:40AM Break
11:20 AM - 12:00 PM Keynote: Using Transfer Learning as a powerful baseline for Deep Learning (George Iordanescu, Data Scientist, Microsoft (Room 212) 
12:00 PM - 1:00PM Lunch Break
1:00 PM - 1:40PM Self-Governing Data Security: Making Data Autonomous (Randy Friedman, CEO, Myngl Technologies Inc)   (Room 212)
1:40 PM - 2:20 PM Implementing Predictive Analytics Into Operational Workflows (Derek Wilson, CEO, CDO Advisors) (Room 212)
2:20 PM - 3:00 PM An Ensemble Model For Lead Forecasting (Peter Anthony, Data Scientist, Realtor.com)  (Room 212)
3:00PM - 3:30PM Break
3:30 PM - 4:10 PM Keynote:  Predicting Reliability Of  Industrial Machines Using Machine Learning  (Jayant Thomas, Director of Machine Learning and AI, Veritas & Rajah Kalipatnapu, Sr. Director, GE) (Room 212)
4:10 PM - 4:50 PM A New Era Of Customer Experience: How Predictive Analytics Is Transforming Customer Engagement (Shahidul Mannan, Head of Technology, TTEC Digital) (Room 212)
4:50PM - 5:30PM Building a Product-Analytics Team (at a startup) (Pubudu Wariyapola, Director, Fivestars) (Room 212)

Day - 2 (April 3rd Workshop Track)

8:30AM - 12:30 PM Workshop Getting Started With TensorFlow (Hans Hyttsten, Software Engineer, Google) (Room 207)
12:00 PM - 1:00PM Lunch Break
1:30PM - 3:00PM Workshop : Machine Learning for Healthcare Payer and Provider Orgs (Prasad Saripalli, Vice President of Products, Edifecs) (Room 207)
 
3:00PM - 3:30PM Break
3:30PM - 6:00PM Workshop: Machine Learning for Healthcare Payer and Provider Orgs (Prasad Saripalli, Vice President of Products, Edifecs) (Contd..) (Room 207)

Day -3 (April 4th 8:15AM-6:00PM )

8:15 AM - 9:00 AM Registration
9:00 AM - 9:40 AM Use Case  Track: When AI Meet Experimentation (Suman Bhattacharya, Senior Data Scientist, Uber) (Room 209)
Enterprise Track: Bringing AI Into The Enterprise - The Transformation Has Begun (Randy Dean, VP, Launchpad.AI) (Room 208)
9:40 AM - 10:20 AM Keynote: Enabling GPU Data Science With GoAI (Joshua Patterson, Director, NVIDIA) (Room 209)
Enterprise Track: Overcoming The AI Hype — And What Enterprises Should Really Focus On (Robert Hryniewicz, Developer Evangelist,  Hortonworks) (Room 208)
10:20AM - 10:40AM Break
10:40 AM - 11:20 AM
Enterprise Track: Building A Modern Enterprise Data Hub (Raymond Collins, Director, Honeywell) (Room 209)
General Track:
AI Strategy And Techniques For CEO, CTO And CIO (Adnan Boz, Founder, Move to AI) (Room 208)
11:20 AM - 12:00 PM AI Use Case (Kamelia Aryafar, Director Data Science, Overstock) (Room 209)
General Track: Building Bots And Conversational AI Using Deep Learning (Mitul Tiwari, Chief Technology Officer, Passage AI) (Room 208)
12:00 PM - 1:00PM Lunch Break
1:00 PM - 1:40PM Use Case Track: Deep Learning solutions for smart cities (SK Reddy, Chief Product Officer, Hexagon) (Room 209)
General Track:  Blending Machine Learning With Product Discovery (Sean McClure, Data Scientist, Accenture) (Room 208)
1:40 PM - 2:20 PM Use Case Track: Solving The Last Mile Problem In DIY Data Science (Jesse Paquette, Chief Scientist, Tag.bio) (Room 209)
Technical Track: Data Science As A Service (David Glueck, VP Data Science, Sailhtru) (Room 208)
2:20 PM - 3:00 PM Technical Track: Insights into Wireless Data for Indoor Location Services and Traffic Analytics (Bob Friday, CTO, Mist Systems) (Room 209)
Use Case Track: Our Journey To A Modern Data Architecture And Machine Learning Platform (Nadeem Chaudhry, Manager, AutomotiveMastermind Inc.) (Room 208)
3:00PM - 3:30PM Break
3:30 PM - 4:10 PM Use Case Track: Blockchain Driven Pervasive Control Framework For Adaptive IoT Integration And Automation In Heterogeneous Cloud Environment  (Vikas Shah, Director, Ernst & Young, LLP) (Room 209)
4:10 PM - 4:50 PM General Track: Selling Data Science Projects Internally (Khosrow Hassibi, Chief Data Scientist, R Systems) (Room 209)
Use Case Track: Personal Finance In Big Data Era (Besim Ismaili, Founder, ELA AS) (Room 208)
4:50 PM - 5:20 PM Visualization Track: Latest trends in Visualising Machine Learning: A case-study driven approach to humanising the intelligence (Ganes Kesari Balakesari, Co-Founder, Gramener) (Room 209)
General Track: Accelerating AI Adoption with Rapid Development and Deployment (Jeremy Antoniuk, COO, Deep Cognition) (Room 208)
5:20 PM - 6:00 PM Keynote: Amalgamation : Patterns for Combining Data for Machine Learning Insight (Ali Arsanjani, Vice-president Artificial Intelligence and Machine Learning, 8x8 & Ex-CTO, IBM) (Room 209)

Day - 3 (April 4th Workshop Track)

8:30AM - 10:00 AM Workshop: How to understand consumer behavior using emotion analysis (Gemma Garcia Lopez, PhD, Stanford University) (Room 207)
10:00AM - 12:00PM Workshop: BTC BOT : Using Python To Build A Bitcoin BOT To Buy , Sell BTC (Sudhir Wadhwa, CTO, Viridis) (Room 207)
12:00 PM - 1:00PM Lunch Break
2:00PM - 3:00PM Workshop:  Blockchain Workshop (Bhairav Mehta, Manager, Apple) (Room 207)
3:00PM - 3:30PM Break
3:30PM - 6:00PM Workshop:  Blockchain Workshop (Bhairav Mehta, Manager, Apple)(Contd..) (Room 207)

NOTE: Agenda and speakers subject to change without notice

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