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...
ChatGPT and its successors still need a helping hand
While large language models can boost development speed, they still need human hands to help develop a stable solution, especially...
Intro to generative AI
Get an intro to generative AI: it enables computers to create new content based on patterns and data it has learned.
The perfect reasonable accommodation: the untapped potential of AI
A personal story of how artificial intelligence can help serve as a reasonable workplace accommodation for a blind person.
Human-level intelligence is a bad benchmark for AI!
Human-level intelligence is a great target to aim for, but it's not the end goal of AI.
What does “artificial intelligence” mean?
Uncover the different techniques and categories within AI, from rule-based programming to deep learning.