How to find the right business use cases for generative AI
Three steps to finding use cases for large language models: Break down workflows into tasks, consider all costs associated with automation, and launch pilots.
Three steps to finding use cases for large language models: Break down workflows into tasks, consider all costs associated with automation, and launch pilots.
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New research from MIT Sloan finds that generative AI provides culturally distinct responses to the same prompt in different languages.
Two economists offer a framework for thinking about the place of values in the decisions of modern life.
Does generative AI actually enhance creativity in the workplace? The answer is yes — but only for employees who have strong metacognitive strategies, according to new research from Jackson Lu.
Eight research-backed titles covering retirement transitions, artificial intelligence and skills development, and how to build an innovation advantage.
A new book aims to help business leaders separate real AI value from overhyped claims.
The work tasks that AI is least likely to replace are those that depend on uniquely human capacities, such as empathy, judgment, ethics, and hope.
Adversity can cultivate instincts that serve entrepreneurs well, says venture capitalist Noubar Afeyan. Here are his three tips to start innovating.
Organizations have options when it comes to using or adapting off-the-shelf large language models to handle tasks or business use cases.