A study found that trained LLMs can identify what customers want as well as expert market reach analysts, who are freed up to apply their expertise to high-leverage tasks.
Stalled projects and workarounds cause chaos in too many organizations. Dynamic work design offers a way to address this through continuous, hands-on problem-solving.
Value creation is the true measure of successful AI implementation. It starts at proof of concept and considers AI’s impact on an industry, not just a company.
AI really can pay off. But leaders must take a systematic approach, understand how the technology works, and let their team leaders determine how it’s used.
As businesses adopt AI, they need to rethink how they make money. Understanding these four new business models is a place to start.
Open-source and open-weight AI models perform well and cost less — but users opt for closed models 80% of the time, according to new research.
Doctors need to trust their intuition, but a decision support tool can help them make hard choices.
The entrepreneur, philanthropist, environmentalist, and former mayor encourages MIT crowd to influence change.
Work against algorithmic bias and climate change challenges “status quo … preoccupied with reproducing itself.”
The retail executive on cultivating resilience and why she’s 'not a startup person.'
