Gartner warned that over 40% of agentic AI projects may be canceled by 2027. The problem is governance, data access, ...

When a software project stumbles—or ultimately fails—it can have a range of negative consequences, from lost and unrecoverable resources to a blow to team morale. It can be tempting to blame a failed ...

Encourage open communication and accountability. Implement pilot programs with clear guardrails. Regularly assess and pivot projects based on ongoing feedback. Destigmatize failure by openly ...

According to the widely quoted “Chaos Chronicles,” a staggering 66% of IT projects prove unsuccessful in some measure, whether they fail completely, exceed their allotted budget, aren’t completed ...

AI projects usually tank because employees are scared for their jobs, company culture resists change and leaders care more ...

Vendors are deliberately misinterpreting AI’s high failure rate. While failures do happen, it’s usually because management sets objectives without having a clue what the technology can do or how it ...

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.

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 ...