Winning CXOs shape experiences that boost business outcomes by debunking myths about customer desires with real data.
Experts in artificial intelligence debate how prepared organizations are to comply with the EU AI Act’s requirements.
On the Me, Myself, and AI podcast, developer and author Patrick Hebron discusses using AI tools enhance software design.
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.
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.