Keep pulling the thread on Cassie Kozrakow.
Cassie Kozrakow identifies a "generative AI value gap," which is the difference between individuals finding enormous value in generative AI and organizations struggling to measure that value.
Generative AI is highly impactful because it democratizes access to computing by allowing users to interact in natural language, removing the requirement to learn programming languages like C++ or Python.
Cassie Kozrakow predicts that in the next 3-5 years, AI and other automations will increasingly take over the repetitive, pre-decided parts of jobs, which she terms "thunking".
Cassie Kozrakow predicts that a major challenge for management in the next 3-5 years will be learning how to effectively manage employees for creative "thinking" after AI automates routine "thunking" tasks.
An AI system is fundamentally a probability engine, composed of smaller components that, at an atomic level, resemble coin tosses.
In a Harvard Business Review article, Cassie Kozrakow argued that many decision-makers who believe they are data-driven are at best "data-inspired," using data to decorate a decision they have already made.
Generative AI can be used as a brainstorming partner to overcome cognitive biases by asking it to identify unconsidered factors, ignored elements, or unstated assumptions in a decision-making process.
AI technology is shortening the timeline for drug discovery.