Practical analysis for investment professionals

fintech


Book Review: The Technological Revolution in Financial Services

The book provides a roadmap on how the financial industry will evolve in response to three structural forces.

GameStop, Artificial Intelligence, Social Media, and the Future of Investing

The GameStop story represents a shift in the balance of power and with it the future of investing and social media.

Book Review: Machine Learning for Asset Managers

This short work will help readers appreciate the potential power of machine learning techniques.

Fraud and Deception Detection: Five Language Fingerprints

Dishonest companies tend to leave five textual fingerprints in their communications that differ from those of more truthful firms.

Fraud and Deception Detection: Text-Based Analysis

Technology can give investment pros a huge advantage in evaluating the truthfulness of company communications.

On-Demand Pay: Is It Here to Stay?

The pandemic has spurred the development of Employer Salary Advance Schemes (ESAS), or on-demand pay.

When to Use Big Data — and When Not To

The full promise of big data can only be realized when it is guided by thoughtful human expertise.

Why People Drive Artificial Intelligence Today and Tomorrow

Now that artificial intelligence has arrived, we all must stay ahead of the curve of the AI revolution.

Human–Machine Collaboration and Model-Aware Investing

How can we leverage the fact that machine learning, alternative data, and AI are not only widespread, but increasing in influence?

Fintechs in a Post-COVID 19 World: Targeting Gen Z?

How fintechs appeal to Gen Z now will have a lasting, maybe a defining impact.



By continuing to use the site, you agree to the use of cookies. more information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close