Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...

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 ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Agile software development is one of the most proven approaches to building software and ...

Somewhere in your organization, an AI project is dying. Perhaps it's the recommendation engine that was supposed to boost sales by 30%. Maybe it's the predictive maintenance system that promised to ...

Enterprise applications are the lifeblood of modern business, driving operational efficiency, enabling smarter business decisions and reducing technical debt. Yet, many strategies continue to fall ...

Virtually every organization is trying its hand at AI, yet very few are seeing the payoff. Despite massive investment, most organizations aren’t seeing the results they were hoping for. According to ...

Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure. Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI ...

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?