Select the right problems to solve, identify clear owners, put guardrails in place and plan with ongoing operations in mind.

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.

This week, an exercise in separating truth from hype. I am old enough to remember when generative AI (genAI) was the best thing since sliced bread — destined to solve any and all problems. But CIO.com ...

Early involvement of project managers in estimating and planning significantly increases the likelihood of projects finishing on time and within budget. Structured, disciplined planning and mandatory ...

Weak data foundations are emerging as one of the biggest reasons why enterprise artificial intelligence (AI) programmes fail ...

The latest Pulse of the Profession® survey from Project Management Institute finds teams that effectively navigate complexity are 5x more likely to deliver successful projects. Maximizing Project ...

In 2025, to borrow a phrase: the AI revolution is already here; it's just not evenly distributed. While individuals are seeing productivity gains from LLMs or newer agentic systems, larger projects ...

Most writing about AI focuses on why projects fail, but in my experience, that misses the real issue. Most AI initiatives don’t just fail. They never even begin. They get approved in principle, ...

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 ...

Healthcare technology will deliver improved patient care, regulations, and efficiency in operations. Although huge amounts of money have been invested, on average 60-70 percent of healthcare IT ...

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 ...