Knowing how to evaluate AI tools, manage data effectively, and share data strategically will help leaders see the results from their AI investments.
Only half of performance gains seen after using a more advanced AI model come from the model itself. The other half come from how users adapted their prompts.
New research shows that people are more likely to trust complicated machine learning models over models that they’re able to understand and troubleshoot.
Experts from Salesforce, S&P Global, and Corning share six key strategies to unlock generative AI’s potential without falling for the hype.
Organizations see success by starting with smaller AI transformations. Aiming for incremental value builds a foundation for sustainable results.
A new study from MIT Sloan Management review finds many employees use AI without realizing it — and without realizing how it benefits them.
From risk management policies to the five stages of AI ethics, here’s how some organizations approach ethical AI.
Fall 2021 update of the HSI Research on Analytics-based opioid overdose prediction
A new approach analyzed resumes for a Fortune 500 firm — and bested traditional screening practices.
While generative AI is widely accessible and useful, businesses need to know when to use other AI tools, like traditional machine learning.
