Tech debt prevents organizations from deploying AI solutions that could reshape how they compete. The stark reality is that with AI poised to penetrate every business function, all technical debt is becoming AI technical debt.
Talent management software promises efficiency and objectivity, but in practice it can limit company-specific talent strategies.
How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.
Many companies develop AI models without a solid foundation on which to base predictions — leading to mistrust and failures. Here’s how statistics can help improve results.
Lessons from two leading hospital systems show how to overcome the obstacles to automation.
