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.
Gaining value from data assets that include customers’ personal information requires advanced data protection tactics.
The natural language capabilities of LLMs can augment the predictive powers of advanced analytics.
Checking assumptions and mapping out work processes can help ensure that ML solutions fit the job to be done.
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.
A combination of biology and digital engineering is saving lives via improved disease detection.
Learn which GenAI issues deserve more attention in this brief video with MIT Sloan CIO Symposium speakers.
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.
Persuading employees to use data to make better decisions requires both top-down leadership and grassroots initiatives.
On the Me, Myself, and AI podcast, Nobel Prize winner Paul Romer discusses the opportunities AI brings to education.
When humans are in the loop with an AI system, they may not feel a sense of responsibility to intervene if things go wrong.
Digital nudges can encourage reactive thinking and limit employees’ ethical thinking.
On the Me, Myself, and AI podcast, Wonder Dynamics’s cofounder discusses an AI tool that enables faster, more cost-effective animation.
Learn why humans miss generative AI mistakes and how AI speed bumps help, in this short video.
Experts debate how effectively organizations are adjusting risk management practices to govern AI.
Learn how grassroots automation helps companies speed up digital transformation efforts.
Lufthansa launched an effective program to turn all its leaders into data leaders and propel its digital transformation.
Business leaders can identify and avoid flawed AI models by employing statistical methods and statistics experts.