#ai-project-failure

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fromComputerworld
1 week 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
1 month 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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