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

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 ...

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 ...

The world of enterprise technology is painted with promises of transformation, but behind the glossy presentations and pilot project success stories lies a sobering reality. Business intelligence ...

AI didn’t just survive the hype cycle. It won. While the metaverse quietly packed its bags and NFTs became dinner-party punchlines, AI is embedded into the industry’s daily operating system. It now ...

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 ...

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 ...