When companies focus on practical, user-centered implementation, AI can stop being an experiment and start having a real impact.

Five-minute evaluation tool helps enterprise teams benchmark data foundations, governance maturity, infrastructure ...

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, ...

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 ...

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?

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American enterprises spent an estimated $40 billion on artificial intelligence systems in 2024, according to MIT research. Yet the same study found that 95% of companies are seeing zero measurable ...

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 ...