This interview took place at the Deep Learning in Finance Summit, Singapore 2017.
RE•WORK spoke with Lipa and Yaron to find out more about their company and their opinion on deep learning applications in Finance.
- What motivated you to start I Know First?
- What inspired you to write the I Know First algorithm to be specific to trading?
- How do you think reinforcement learning is aiding the development of the financial sector?
- What developments can we expect from deep learning in the next 5 years & what are you most excited for?
- Is there anything you would like to announce here at the Deep Learning in Finance Summit?
Yaron Golgher is the Co-Founder and CEO of I Know First Ltd. I Know First is a FinTech company that brings science and math to the financial world by providing daily investment forecasts based on an advanced self-learning algorithm. The algorithm utilizes artificial intelligence and machine learning techniques through which I Know First is able to analyze, model and predict the stock market. Mr. Golgher Holds a Bachelor of Science (B.Sc.) in Industrial Engineering from Tel-Aviv University and an EMBA from Ben Gurion University. Yaron Golgher has over 18 years of experience in managing and leading consulting projects in industrial companies, services, finance, infrastructure and transportation organisations.
With over 35 years of research in artificial intelligence and machine learning, Dr. Lipa Roitman has developed algorithms to predict chaotic events in financial markets. He has a M.Sc. in chemistry and organic chemistry from Novosibirsk University, a Ph.D. in organic and physical organic chemistry, and photochemistry from the Weizmann Institute of Science, a post doctorate in polymer chemistry from the University of Akron, and has a background in mathematics and statistics. His past work includes: R&D Chemist for Rohm and Haas Corp. USA.
As Co-Founder and CTO of I Know First Ltd., the company uses his algorithm to predict markets and supply big data solutions for institutional and large private investors. Lipa is responsible for the design, development, characterization, specification, and implementation of algorithmic trading solutions. In addition, his other responsibilities include development of quantitative trading strategies, predictive analytics, and development of quantitative trading strategies, algorithmic trading applications, and Big-Data solutions for hedge funds and institutional clients.