Most companies still approach AI like a software rollout, when in reality it behaves more like an organizational stress test.

The software industry is facing a quiet but catastrophic reckoning. While the hype surrounding generative AI (GenAI) has promised a productivity revolution, the reality on the ground is a landscape of ...

Virtually every organization is trying its hand at AI, yet very few are seeing the payoff. Despite massive investment, most organizations aren’t seeing the results they were hoping for. According to ...

Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure. Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI ...

AI-driven automation is becoming increasingly integrated into the world of software development: documentation generation, coding assistants, automated testing, and deployment orchestration, among ...

What if you could build software faster, smarter, and with less effort—while 90% of the coding was already handled for you? It sounds like science fiction, but with the rise of AI-driven development ...

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 with limited resources, SMBs can use artificial intelligence centers of excellence to drive smarter decisions, improve ...

Almost two-thirds (63%) of organizations are unsure they have the right data management practices for AI, according to research firm Gartner. This lack of readiness has an impact: the analyst predicts ...

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 ...