The difference between U.S. and Brazilian anti-corruption laws lies in the logic of their enforcement, writes Gustavo Aguiar, ...

When everyone is accountable, who is actually responsible? I can’t help but think of this question as I consider the flurry ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Effective leadership requires envisioning the organization as one interconnected system rather than isolated parts.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Below are surveys that can be used to evaluate trainee progress and to gather feedback from trainees about the mentoring they have received and their satisfaction with their training program. The ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

COLUMBUS, Ohio — The college football calendar is a mess and Buckeye Talk is here to fix it. On this episode, Stephen Means, Stefan Krajisnik and Andrew Gillis create the perfect possible calendar for ...

The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.

Twenty years after the introduction of the theory, we revisit what it does—and doesn’t—explain. by Clayton M. Christensen, Michael E. Raynor and Rory McDonald Please enjoy this HBR Classic. Clayton M.