Organizations have options when it comes to using or adapting off-the-shelf large language models to handle tasks or business use cases.
Adversity can cultivate instincts that serve entrepreneurs well, says venture capitalist Noubar Afeyan. Here are his three tips to start innovating.
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.
Three steps to finding use cases for large language models: Break down workflows into tasks, consider all costs associated with automation, and launch pilots.
Keeping your technology workforce operating at peak performance is critical to digital business success. Here’s how to motivate and manage tech workers.
New research ranges from how AI agents negotiate to how “personality pairing” can optimize human-AI collaboration.
A new book aims to help business leaders separate real AI value from overhyped claims.
Eight research-backed titles covering retirement transitions, artificial intelligence and skills development, and how to build an innovation advantage.
Two economists offer a framework for thinking about the place of values in the decisions of modern life.
Enterprises racing to adopt AI must be wary of giving into hype, downplaying ethical concerns, and focusing on use cases that won’t generate real value.
