**UPDATE: 4/25/17 @ 12PM - PRE-SALE TICKETS ARE SOLD OUT! THERE WILL BE A LIMITED NUMBER OF TICKETS AVAILABLE AT THE DOOR ON A FIRST COME, FIRST SERVE BASIS. $15 - CASH ONLY. THANK YOU!**
[6:30 - 7:00 PM] Networking (Wine & Beer)
[7:00 PM] Welcome Introduction
Maryam Farooq (Organizer, NYAI)
[7:05 PM] Speaker #1: "Mining Alternative Data Sources for Making Financial Decisions"
Dr. Anasse Bari (NYU)
Featuring: Aniruddh Khera
[7:35 PM] Rapid Q&A
[7:50 PM] Intermission
[8:00] Speaker #2: "Artificial Intelligence for Absolute Return Investment Strategies"
Mutisya Ndunda (Founder/CEO, Alpha Vertex)
[8:30 - 8:45 PM] Rapid Q&A
[8:45 - 9:00 PM] Closing Remarks
Join us for what's sure to be an awesome night in AI! This month's event is part of FinTech Week NYC. We'll hear from Dr. Anasse Bari (NYU) who will talk about "Mining Alternative Data Sources for Making Financial Decisions," followed by Mutisya Ndunda (Founder/CEO, Alpha Vertex) who will talk about "Artificial intelligence for Absolute Return Investment Strategies."
Wine + Beer + AI + Networking = The Best Tuesday ever!
Dr. Anasse Bari (NYU) will talk about Mining Alternative Data Sources to Seek Alpha for Making Financial Decisions. This talk will not be highly technical, but will include algorithms + high-level highlights of the technology. Dr. Bari will highlight use cases where alternative datasets have been mined using machine learning algorithms and how they help in understanding movements in the stock market. Dr. Bari along and his graduate student and former GE software engineer Aniruddh Khera will close by highlighting their research team project - using news articles and micro-blogs to understand movements of financial markets.
Mutisya Ndunda (Founder/CEO, Alpha Vertex) will speak about using machine learning techniques to forecast time series in order to build investment strategies. Time series are an essential part of financial analysis and as the volume, velocity and complexity of financial data increases. Machine learning techniques hold great promise for time series analysis and offers a way to separate the signal from the noise, even when the noise can seem overwhelming. During his presentation, Mutisya will go through an accessible, non-trivial example of machine learning with financial time series.
1) Civic Hall will be hosting an Ethics of Automation Panel on Tues, 4/18!
2) Flash Pitch is looking for the BEST AI Companies in NYC to pitch at a special AI edition of Flash Pitch. The winning team will get all the Flash Pitch winner benefits + a fast track to the final round of interviews for the AI Nexus Lab program (NYC's only AI-specific startup program). AI NexusLab companies get $100K investment; an NYU student fellow; office hours with investors, corporate partners + access to NYU faculty; a pilot partner; office space at Data Future Lab; among many other AI-specific benefits. Apply to pitch here for the event on Thurs, 4/20!
3) Want to learn & work with Artificial Intelligence? You're in luck! The Global AI Hackathon will be taking place in multiple cities around the world on on incredible weekend! This Series is focused on AI, Machine learning, and Deep learning; all skills & abilities are encouraged to participate. Join your local community of innovators to create solutions! Register for the NYC Hackathon (Fri, 6/23-Sun, 6/25)!