Computerworld November 20, 2025
When it comes to figuring out where to spend their money, venture capitalists have a different perspective than IT leaders about what success looks like. That’s especially true around AI.
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.
Though IT leaders will get better at dealing with AI as...
Today's Sponsors
Today's Sponsor