Large language models and the math behind modern marketing: a simple upgrade or game changer?
The power of modern LLMs to predict likely behavior will impact personalization, content creation, and how marketing budgets are...
Digital engagement practices: new rules or application of existing ones?
Regardless of the regulatory future, firms need to be prepared to be examined and investigated for their digital engagement...
How AI helps regulators protect and inform investors
Securities regulators have begun using AI to predict risk, determine which entities to examine, and aid investors and customers.
Regulatory recap: Q1 2023
As regulations evolve, it’s important to stay up to date. Here are findings from the SEC and FINRA that caught my eye in Q1 2023.
Looking ahead: 2023 and beyond
Looking into 2023, we expect that regulations will be shaped by factors including crypto, ESG, the SEC’s new marketing rule, and...
Is change the only response to change?
The financial services industry faces many challenges from the ever-increasing pace of change. Can AI be one of the solutions to...
Does generative AI have a place in financial services?
Financial firms haven't fully leveraged generative AI for core business functions because those models haven't been built—but...
Effective compliance risk management: an essential function for the success of a compliance department: part I
For effective compliance risk management, identify, assess, and quantify risks, then implement a strategy designed to manage the...
Who does it best—humans or computers?
Humans are adept at dealing with ambiguity and uncertainty, while computers excel at “understanding” data.
The secret to a successful AI model? Self-cannibalization.
If you want to have a successful AI model, be ready to scrap your existing methods when the time comes and upgrade to more capable...
Intro to large language models: the journey to billions of parameters
What are large language models (LLMs)? Learn the basics of what’s behind innovative AI applications like ChatGPT.
The illusion of explainability in machine learning models
Does explainability in machine learning lead to a false sense of security? In many use cases, a more accurate model is better than...