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 ...
Renowned venture capitalist and influencer Naval Ravikant shared his perspective on why most cryptocurrency projects end up failing. What Happened: On Sunday, Ravikant, a respected figure in the ...
As AI helps improve efficiency and decision making across industries and organizations, almost all startups are building their own AI model. However, there’s one critical aspect that most startups ...
There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a ...
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 ...
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 ...
Failing is an essential part of growth and learning. Not only does it provide valuable lessons, it also helps identify areas for improvement.
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 ...
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 ...
Encourage open communication and accountability. Implement pilot programs with clear guardrails. Regularly assess and pivot projects based on ongoing feedback. Destigmatize failure by openly ...