Press Release: WealthTECH book co-authored by I Know First’s founders featured on Bookauthority

A recent article on Bookauthority titled: “16 Best New Fintech Books To Read In 2019” listed “The WealthTECH book” as one of the best new fintech books to read. The book is designed as a handbook for investors, entrepreneurs and finance visionaries. PhD Lipa Roitman, Co-founder and Chief Scientist at I Know First, and Yaron Golgher, Co-founder and CEO of I Know First, selected as co-authors of the WealthTECH Book which will be published by Wiley on May 11, 2018 on Amazon. As of today, The WealthTECH Book has reached the 7th place on Amazon’s Bestseller Ranking and we are also considered a “Hot New Release”.

As Co-authors of chapter 4 “Digital Platforms, Products & Ecosystems” of the book, PhD. Lipa Roitman and Yaron Golgher are looking at some of the ongoing trends and changes in the financial services industry and how asset managers can (or should) be transforming themselves to stay relevant and ‘ahead of the curve’. This chapter has been written in cooperation with top fintech experts from the world leading companies, such as Dufour Capital AG and Bloomberg.

The following is an extract from the article that describes this book:

“Get a handle on disruption, innovation and opportunity in investment technology The digital evolution is enabling the creation of sophisticated software solutions that make money management more accessible, affordable and eponymous. Full automation is attractive to investors at an early stage of wealth accumulation, but hybrid models are of interest to investors who control larger amounts of wealth, particularly those who have enough wealth to be able to efficiently diversify their holdings. Investors can now outperform their benchmarks more easily using the latest tech tools.”

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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 10,000 assets (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.