Today, ChatGPT and large language models (LLMs) more generally represent the next evolution in AI/ML technology. And that comes with a number of implications.
With various performance metrics to choose among, might fund managers be tempted to cherry-pick those that reflect most favorably on their performance?
While the FASB's proposed partial disaggregation would be helpful to investors, we are discouraged by its limited scope after waiting so many years.
Social media is borderless. Regulation is not. That's why global cooperation among regulators is necessary to deliver the best possible outcomes for consumers.
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?