Event Schedule
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 |
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
-
Global Artificial Intelligence Conference
Date: Oct 23rd to 24th, 2017 Venue: New York, NY, USA - Event Info