#ai-project-failure

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Artificial intelligence
fromComputerworld
1 month ago

The cost of abandoned genAI projects? Garbage code, orphan apps, and security issues

Rapid, poorly planned generative AI projects create technical debt, abandoned artifacts, and rising maintenance costs that can erode expected ROI.
fromComputerworld
2 months ago

How IT leaders can build successful AI strategies - the VC view

The AI gold rush these days is littered with abandoned enterprise projects, with humans - not the technology itself - being blamed for high failure rates of AI projects. Recent data indicates that stagnant AI projects were often the result of poor vision, mismanagement, and a lack of resources. Eagerness from the top to become "AI-first" companies is also putting pressure on C-suite execs and other IT decision-makers who might not have the budgets, systems, or tools for success.
Artificial intelligence
Artificial intelligence
fromMedium
2 months ago

5 Rules for 2026 Enterprise AI

Enterprise AI success requires extensible, agentic architectures and user-empowering adoption strategies to avoid brittleness and leverage evolving third-party capabilities.
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