As businesses adopt AI, they need to rethink how they make money. Understanding these four new business models is a place to start.
Organizations have options when it comes to using or adapting off-the-shelf large language models to handle tasks or business use cases.
To improve AI adoption in your organization, pay attention to both capability and personalization, new research suggests.
Generative AI has the potential to provide smart, tailored financial guidance, early research from MIT Sloan economist Andrew Lo suggests.
In health care, AI is speeding up administrative tasks, improving the accuracy of diagnoses, and curtailing unnecessary treatment.
Two AI practitioners explain how “Large X models” that turn text into actions may ultimately allow generative AI to water plants and peel potatoes.
MIT’s Daron Acemoglu, David Autor, and Simon Johnson make the case for federal policies to encourage the development of AI that complements workers.
Behavioral science can help identify who is open to AI-enhanced insights, helping companies hone their customer experience strategy.
Automation and AI can create good jobs, benefit workers, improve productivity, and grow the economy. Here’s how to roll them out right.
This startup relies on the distributed intelligence of East African farmers for its data.
