Developing Strategy
Our Guide to the Summer 2024 Issue
This issue of MIT SMR focuses on analytics, the challenges of advancing artificial intelligence, and business strategy.
This issue of MIT SMR focuses on analytics, the challenges of advancing artificial intelligence, and business strategy.
Two frameworks can help organizations identify potential harms posed by algorithms, AI tools, or large language models.
Apply these techniques when crafting prompts for large language models to elicit more relevant responses.
Prompting users to spot errors when using generative AI to complete reports improves the accuracy of the final product.
On the Me, Myself, and AI podcast, GitHub’s Mario Rodriguez discusses AI’s potential to change the future of coding.
Learn three principles for reorganizing work around AI.
To reduce the risk of accidentally using bad artificial intelligence, we need regulation — and skepticism.
The spring 2024 issue of MIT SMR looks at opportunities in digital innovation, automation, generative AI, and more.
Analyzing factors behind generative AI’s value can help leaders determine who will benefit most from its growth.
Many organizations are experimenting with generative AI, and many questions remain about its impact on the workforce.
LLMs have immense capabilities but present practical challenges that require human knowledge workers’ involvement.
This free webinar offers expert insights on effective data-management strategies for AI adoption.
This webinar from MIT SMR offers guidance to help business leaders thoughtfully plan a generative AI implementation.
This webinar from MIT SMR explores key areas in which generative AI could transform existing ways of doing business.
This webinar from MIT SMR covers the basics of generative AI and explores business use cases for the emerging technology.
Enhance your leadership skills with MIT Sloan Management Review’s most-read articles of 2023.
Understanding large language models’ limitations can help users discern which tasks they are and are not well suited for.
Companies that want to experiment with generative AI might find open-source models a safer bet than commercial options.
On the Me, Myself, and AI podcast, Harvard Business School’s Ayelet Israeli discusses AI’s customer research potential.
Consumers and top brands are cocreating campaigns using generative AI tools. Are you ready to manage the opportunity?