I Know First Presents For Singaporean NTU Delegation, Hosted By Israeli Export Institute

On May 23, I Know First representatives spearheaded a successful presentation for a NTU delegation from the Nanyang Technological University (NTU) in Singapore, comprised of NTU alumni who are now leaders in business and finance. The much anticipated visit, hosted jointly by the Israeli Export Institute and the Israeli Economic Mission to Singapore, supported diverse interests but had an unmistakable focus on fintech, as evidenced by the attendance of members from three banks.

NTU delegation
(Ben Rubin, Head of Advisory Services at I Know First, May 23, 2019)

I Know First successfully addressed the delegation’s interests in fintech by delivering a presentation titled “Investment Selection By Using Artificial Intelligence,” which covered the technical complexities of I Know First’s forecasts, with a focus on its unique algorithm and added value to customers and investors worldwide. In particular, I Know First delivered examples of successful forecasts for the Singaporean stock market.

About NTU Delegation

The NTU delegation included many esteemed figures in business and finance, such as the Executive Director & Head of Realtime Communications from Standard Chartered Bank Singapore Ltd., the Director (Legal & Compliance) of multinational pharmaceutical company Novo Nordisk, the Managing Director of United Overseas Bank Ltd., the Head of Investor Relations from Oversea-Chinese Banking Corporation Ltd., Associate Partner (Global Emerging Markets FinTech Leader) from Ernst & Young LLP, and many more. I Know First was able to successfully represent Israeli fintech advancement at this ongoing government-led initiative to promote investment and collaboration from East Asian sectors.

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I Know First

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 10,000 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.

For more information, visit I Know First.