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

“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, ...

The study also found Louisiana companies posted 151% more AI and machine-learning jobs than data infrastructure roles.

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" ...

Development plans for the historic Ghost Ranch Lodge and the condominium complex One West failed to win federal low-income-housing tax credits, possibly killing one project and putting the other on ...

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?