Press Release: Benzinga Nomination for Dr. Roitman to Top Influential Data Scientists List

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Recently, Dr. Lipa Roitman, I Know First Co-Founder and Chief Scientist, was chosen by Benzinga to appear in it’s most influential data scientists list, among other leading scientists in the fin-tech industry.

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Launched in 2015, The Benzinga Fintech Awards were aimed to commend innovation and excellence throughout the capital markets industry.  This year, Benzinga Fintech Awards is held on November 19, 2019, in the city of New York. Among most prominent winners of last years are Joanna Lambert, General Manager, Finance and Tech of Oath & Yahoo! Finance and Denise Leonhard, Senior Director of Global Corporate Strategy of PayPal.

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The Influential data scientist list is published annually by Benzinga and features the leading minds of the global Fintech industry.

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. I Know First has used Dr. Roitman’s algorithm to predict markets and supply big data solutions for institutional and large private investors since 2010. As the head of R&D, he is responsible for the design, development, characterization, specification, and implementation of algorithmic trading solutions. Besides these, he also leads our R&D group in development of quantitative trading strategies, predictive analytics, algorithmic trading applications and Big-Data solutions for hedge funds and institutional clients.

benzinga fintech awards

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I Know First, Ltd. is a financial technology company that provides daily investment forecasts based on an advanced, self-learning algorithm. Thus, the company’s algorithm predicts over 10,500 securities (and growing). Thus, it has capabilities to discover patterns in large sets of historical stock market data.

The underlying technology of the algorithm based itself on Artificial Intelligence. It also based itself on machine learning and incorporating elements of artificial neural networks and genetic algorithms. Moreover, the algorithm generates daily market predictions for stocks, commodities, ETF’s, interest rates, currencies, and world indices for the short, medium and long-term time horizons.