Big Data
As regulators continue to refine their understanding of AI and big data, financial institutions have an opportunity to shape the regulatory landscape by participating in discussions and implementing responsible practices.
Big data-driven AI in financial services is a technology that augments human capabilities. We are living in countries governed by the rule of law, and only humans can adopt safeguards, make decisions, and take responsibility for the results.
Handbook of Artificial Intelligence and Big Data Applications in Investments, edited by Larry Cao, CFA, is the big winner in 2023.
What are the most popular top 10 articles of 2023 published by the CFA Institute Research and Policy Center?
As machine learning (ML) and data science become ever more integrated into finance, which factors should we consider for our ML-driven investment models and how should we select among them?
When it comes to ESG, DEI, and advances in data and technology, this time really is different.
This detailed stock market study attempts to extend Robert Shiller’s development of narrative economics.
"We are living in a Big Data World," Dan Joldzic, CFA, says. "No single analyst or team of analysts can capture all the information on their positions."
To celebrate Enterprising Investor’s 10-year anniversary, Larry Cao, CFA, curates our collection of fintech, AI, and big data coverage.
Andrew Lo and Ajay Agrawal explore how biases, regulations, and economics and wealth distribution will shape the future of fintech.