It’s not the Pi—it’s how we use it.

Without replicating a key aspect of employee onboarding, organizations fail to give AI adoption a strong foundation.

More than 80% of corporate AI projects never make it out of the pilot phase or fail to deliver measurable value once deployed, according to RAND research. This failure rate is two times higher than ...

President Donald J. Trump just launched Project Freedom—a U.S.-led naval mission to physically force commercial shipping ...

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

The claim that “AI projects are failing” has become a familiar headline—and a valid one. But while the failure rate may be high, it’s not necessarily cause for alarm. In fact, understanding why these ...

It is within this context that Madhusudan Nagaraja has been contributing independent advisory guidance as a member of the PMI Infinity Advisory Committee. PMI Infinity, launched in January 2024, is ...

Projects don't just fail because of bad luck; they fail because we can't calculate the ripple effects of change as quickly as they actually happen. A widely shared Template22 graphic on why projects ...

Stretch projects build real skills while advancing your product roadmap. Peer learning preserves institutional knowledge and boosts team collaboration. Upskilling aligned with career growth improves ...