MobiDev, a software consulting & engineering company, has launched its AI Implementation Failure Test, a new executive-focused assessment designed to help business leaders identify why AI initiatives ...

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 ...

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?

Gartner predicts over 40% of agentic AI projects will be canceled by 2027, not due to technology flaws but poor human decisions, weak governance, and misaligned strategies. Industry experts stress ...

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 ...

Why 95% of enterprise AI projects fail to deliver ROI: A data analysis American enterprises spent an estimated $40 billion on artificial intelligence systems in 2024, according to MIT research. Yet ...

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 ...

Gartner predicts over 40% of agentic AI projects will be canceled by 2027 due to flawed human decision-making and poor strategic planning. Many organizations are rushing into deployments driven by ...

Failure is part and parcel of research, but discussing it sometimes seems to be taboo in science. It doesn’t need to be.