Event detail

Name: Artificially Intelligent Fund

From: 04 Dec 2017

To: 04 Dec 2017

Address: DoubleTree by Hilton Hotel Metropolitan – New York City, United States

Organizer: Clariden Global

Key speakers: Alexander Fleiss, CEO, Rebellion Research Tim Harrington, President, BATTLEFIN Andy Moniz, Professor, Erasmus University Adil Abdulali, Partner, Protégé Partners Armando Gonzalez, CEO, RavenPack Arun Verma, Quantitative Researcher, Bloomberg LP Andrej Rusakov, Co-Founder and Seed Investor, Data Capital Management Ben Steiner, Director - Quantitative Strategies, CIT Gaurav Chakravorty, Co-Founder, qplum George Lentzas, Manager & Chief Data Scientist, Springfield Capital Management Harold Jean-Baptiste, Executive Director – Chief Data Scientist, Segmint Jeffrey Yau, Chief Data Scientist, AB Juan Braña, Co-Founding Partner and Chief Data Officer, Eye Capital Marko Kolanovic, Global Head of Macro Quantitative and Derivatives Research, J.P.Morgan Maxwell Margenot, Data Scientist and Lecturer, Quantopian Michael O’Rouke, Head of Machine Intelligence and Data Services, NASDAQ Michael Underhill, Founder & Chief Investment Officer, Capital Innovations Norman Niemer, Director & Quant & Data Science Team Lead, UBS O'Connor Pamela Finelli, Managing Director, Head Equity Derivatives & Delta1 Strategy Rajesh Krishnamachari, Quantitative Strategist and Data Scientist, J.P. Morgan

Web page: http://claridenglobal.com/conference/ai-funds-us-17/

Pricing: - variable, starting at USD$2,595

Description: Artificially Intelligent Funds – Generating Excess Returns with Artificial Intelligence & Deep Learning

10 Compelling Reasons to Join Us This December at the Artificially Intelligent Fund Conference

Develop AI and machine learning capabilities through real use cases from big players in the industry
Discover emerging trends and latest developments in AI and machine learning from industry players trading and investing on live investment models
Learn how to develop a compelling Business Case to clients and CEOs to adopt AI and machine learning in investment approaches
Rare gathering of talents including Quants, Data Scientists, Researchers, AI and machine learning experts and Investment Officers
Explore solutions to challenges and potential risks and pitfalls before adopting AI and machine learning

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