The study also found Louisiana companies posted 151% more AI and machine-learning jobs than data infrastructure roles.

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, ...

When a software project stumbles—or ultimately fails—it can have a range of negative consequences, from lost and unrecoverable resources to a blow to team morale. It can be tempting to blame a failed ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

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.

The study introduces the concept of algorithmization to describe how organizations can be transformed into federated ...

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 ...

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 ...

Unicoin hopes to launch on exchanges later this year and focuses on creating digital assets backed by investment portfolio wealth. Unicoin chief investment officer Alex Dominguez recently joined ...

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 ...

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 ...