October 23 to 24 2017, New York, USA.

Global Artificial Intelligence Conference

Day -1 (October 23rd 8:00AM-6:00PM )
Track 1 
(Conference Room 501)

8:00 AM - 9:00 AM Registration
9:00 AM - 9:40AM Keynote: Usage of AI in video and photo identification of people and things as the future of airports and security (Ramki Ramaswamy, VP IT Technology & Integration, JetBlue)
9:40 AM - 10:20AM Intelligent Tagging For Financial Professionals - Foundation Of Unstructured To Authorities Linked Metadata (Ofer Harari, Director, Thomson Reuters)
10:20AM -10:40AM Break
10:40 AM - 11:20AM Converting unstructured text into structured format using NLP  (Mahesh Varavooru, Founder & CTO, WildFire Force)
11:20 AM - 12:00PM Cross Product Mapping For Deriving Deep Insights (Lokesh Rajaram, Lead Engineer, Intuit)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Machine Learning driven Trading Bots (Diego Baez, Machine Learning Solutions Architect, Hortonworks)
1:40PM - 2:20PM Demystifying the Intersection between Financial Crime Risk and Machine Learning (Nikhil Aggarwal, FinTech EIR, iValley Innovation Center & Ex-Executive Director, Standard Chartered Bank)
2:20PM - 3:00PM Keynote: Rage Against the Machine - Training AI to Identify Hate Speech (Jason Carmel, Chief Data Officer, POSSIBLE)
3:00PM - 3:30PM Afternoon Break
3:30PM - 4:10PM Distributed Deep Learning Optimizations ( Finance related) (Geeta Chauhan, CTO, SVSG)
4:10PM - 4:50PM Boost Model Performance: Advanced Data Preparation And Model Strategies (Scott Clendaniel, VP Analytics, Morgan Stanley)
4:50PM - 6:00PM

Keynote Panel: The Future of Artificial Intelligence
Meina Zhou (Data Scientist, Capco)
Manindra Majumdar (CEO, Gofind.AI)
Sharath Nitturi (Executive Director, JPMorgan Chase)
Marshall Sponder (Professor, Zicklin School of Business)
Dan Shiebler (Machine Learning Modeling Engineer, Twitter)
Nikhil Aggarwal (Ex-Executive Director, Standard Chartered Bank) - Moderator

Day -1 (October 23rd 8:00AM-6:00PM )
Track 2 (Conference Room 509)

9:40 AM - 10:20AM Mining the Minds of M[a]ch[i]nes (Mat Torgow, Manager, NVIDIA)
10:20AM -10:40AM Break
10:40 AM - 11:20AM Machine Learning and Data Science in E-Commerce    (Kamelia Aryafar, Director, Overstock)
11:20 AM - 12:00PM Less Processing More Analysing (Deepak Paramanand, Product Manager, Synchronoss Techonologies)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Balancing Human Creativity with Algorithms (Marshall Sponder, Professor, Zicklin School of Business)
1:40PM - 2:20PM Use Case: AI in Mobile Commerce (Manindra Majumdar, CEO, Gofind.AI)
2:20PM - 3:00PM AI in Pharma and Healthcare (Larry Pickett,  CEO, RxDataScience)
3:00PM - 3:30PM Afternoon Break
3:30PM - 4:10PM Operationalizing Machine Learning for Developers (Andrew Brust, CEO, Blue Badge Insights)
4:10PM - 4:50PM Real World Data Science Strategy (Dan Shiebler, Machine Learning Modeling Engineer, Twitter )
4:50PM - 5:30PM A Gradient-Based Adaptive Learning Framework For Efficient Personal Recommendation (Liangjie Hong, Head Of Data Science, Etsy)

Day -2 (October 24th 8:00AM-5:00PM )
Track 1  (Conference Room 501)

8:00 AM - 9:00 AM Registration
9:00 AM - 9:40 AM Keynote: Pharmaceutical industry and AI: where are we today? (Jamie Powers, Director, PerkinElmer Informatics)
9:40 AM - 10:20 AM Reinventing Healthcare: Predicting Alzheimer’s Disease With Machine Learning (Ayin Vala, Foundation for Precision Medicine)
10:20AM - 10:40AM Break
10:40 AM - 11:20 AM Automated Schema Matching and Data Unification with Smart ETL Services (Murali Kaundinya, Director, Merck)
11:20 AM - 12:00 PM Use cases of Interpretable AI in Healthcare: Transforming population evidence to precision health application with patient-generated health data (Pei-Yun s. Hsueh, Analytics Team Lead, IBM)
12:00 PM - 1:00PM Lunch Break
1:00 PM - 1:40PM Predictive Analytics With The AWS Machine Learning Service (Alexis Perrier, Data Scientist, Docent Health)
1:40 PM - 2:20 PM AI in healthcare services - innovation with focus on business value (Afik Gal, VP, eviCore Healthcare & Daniel Shenfeld, VP Data Science, eviCore Healthcare)
2:20 PM - 3:00 PM Medical Natural Language Processing and Machine Learning for Drug Safety (Armen R. Kherlopian, Chief Science Officer & VP, Genpact)
3:00PM - 3:30PM Break
3:30 PM - 4:10 PM Keynote: Impact Of AI In Real Estate (Nick Kljaic, CEO, Apartment Ocean)
4:10 PM - 5:00 PM Keynote Panel: Solving Business Problems With AI, Big Data & Analytics
Nikhil Singhvi (Director, Credit Suisse)
Rohan Manthani (Vice President Of Products, Streamoid Technologies)
Anatoli Olkhovets (VP, Opera Solutions
Mark Ereth (CEO, Apri Health)
Robert Cohen (Sr. Director, Economic Strategy Institute
Afik Gal (VP, eviCore Healthcare)   - Moderator 

Day -2 (October 24th 8:00AM-5:00PM )
Track 2  (Conference Room 509)

9:00 AM - 9:40 AM Machine Learning in the Enterprise: Use-cases and opportunities (Margaret Laffan, Director, SAP)
 
9:40 AM - 10:20 AM Data Science Out of The Box : Case Studies in the Telecommunications Industry (Anand Ranganathan, VP of Solutions, Unscrambl)
10:20AM - 10:40AM Break
10:40 AM - 11:20 AM How to build an exceptional career in Artificial Intelligence (Adam Keene, Director, Harnham)
11:20 AM - 12:00 PM Achieving data science productivity and scale through an enterprise Signal Layer (Anatoli Olkhovets, VP, Opera Solutions)
12:00 PM - 1:00PM Lunch Break
1:00 PM - 1:40PM Implementation Of Digital Strategy And Data Science Solutions In Financial Institutions (Meina Zhou, Data Scientist, Capco)
1:40 PM - 2:20 PM Fashion Superintelligence And Conversational Commerce - The Applications Of Chatbots, AI, Computer Vision In Fashion In Store And Online (Rohan Manthani, Vice President Of Products, Streamoid Technologies)
2:20 PM - 3:00 PM Broad Industry AI-based Software Platforms for Autos and Health: Economic and Competition Implications (Robert Cohen, Sr. Director, Economic Strategy Institute)
3:00PM - 3:30PM Break
3:30 PM - 4:10 PM The Best Branded Bots (David Berkowitz, Chief Strategy Officer, Sysomos)

NOTE: Agenda and speakers subject to change without notice

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