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

AI Projects Are Failing at an Alarming Rate Enterprise AI adoption is accelerating. Budgets are growing. Boards expect measurable outcomes. Yet most AI initiatives fail...Read More The post Why 70% of ...

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 ...

While major players like TCS and Infosys rely on broad platforms such as ignio or Topaz, the smarter shift is toward modular, ...

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 ...

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 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 ...

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 ...

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 ...