The evolution of AI: from handcrafted features to generative and autonomous AI
AI has come a long way, evolving from simple rule-based systems to complex deep learning models capable of learning patterns.
Trends in AI: What’s next for LLMs?
As LLMs continue to advance at warp speed, I am following trends in marketing impact, domain-specific versions, better alignment,...
Effective compliance risk management: part II
A healthy compliance program that includes a risk management program can provide a foundation for monitoring progress toward risk...
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.