AI & Machine Learning
How Generative AI Can Support Advanced Analytics Practice
The natural language capabilities of LLMs can augment the predictive powers of advanced analytics.
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.
On the Me, Myself, and AI podcast, GitHub’s Mario Rodriguez discusses AI’s potential to change the future of coding.
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.
Business leaders can identify and avoid flawed AI models by employing statistical methods and statistics experts.
On the Me, Myself, and AI podcast, Stitch Fix’s Jeff Cooper explains how generative AI enables employees to gain more efficiencies while still connecting with customers.
New research shows where marketers are seeing gains from AI and how to speed up payoffs.
In the age of artificial intelligence, executives must make maintaining their AI literacy a habit.
Learn three principles for reorganizing work around AI.
Watch this short video to learn more about how AI changes the rules of workforce management.
The nonprofit is delivering technology and services to help its staff build AI applications efficiently and safely.
To reduce the risk of accidentally using bad artificial intelligence, we need regulation — and skepticism.