Big-picture AI: Ideas from MIT Sloan Management Review
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.
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.
Akamai CTO Robert Blumofe offers four tips for business leaders striving to empower employees with the right tools and best use cases.
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.
Without a clear strategy, corporate sustainability efforts often represent sunk costs. New research explains how to align digital sustainability with corporate goals.
A combination of AI and humans works best in tasks where humans outperform AI and in those that involve creating content.
Executives from financial services firms discuss early adoption of AI in the industry, reasons for caution, and the benefits of partnering with fintechs.
With carbon emissions reduction a top concern, tech leaders are building capabilities that help companies reduce their own emissions and those of suppliers and customers.
Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.
The OpenAI CEO talks artificial intelligence and regulation, AI and bias, AI and daily life, and more. For many reasons, he’s optimistic.
MIT experts explain how generative AI — and AI generally — could transform enterprises this year, as well as how to set realistic environmental goals.