Artificial intelligence has become the centerpiece of digital transformation strategies across enterprises, promising ...

“Innovate” is the key buzzword for the local TV news industry right now. Some new technologies and platforms undoubtedly ...

Why does traditional training fail tech teams? It's jarring to know that 78% of organizations abandon projects partway through because they didn't have employees with the necessary IT skills. Today, ...

Supercell has revealed lessons learned from high-profile project cancellations and how failure is a necessary part of ...

This year has shown that AI isn't just a fleeting trend; it's a technology that is fundamentally changing the landscape of many industries. In the recently published "State of AI in Business 2025" ...

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.

Your project is on schedule, until legal reviews take way longer than anticipated. You find out—too late—this exact situation happened with another a project a few years ago. Sound familiar?

With growing demand for carbon-free, around-the-clock energy, more and more utilities, politicians and developers are looking toward nuclear power as a potential solution. The trouble is, for decades, ...