Event Schedule
Day -1 (April 2nd 8:00AM-7:00PM )
8:00 AM - 9:00 AM | Registration |
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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 |
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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 |
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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 |
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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 |
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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 |
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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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Global Predictive Analytics Conference
Date: Apr 02nd to 04th, 2018 Venue: Santa Clara, CA, USA - Event Info