Why are so many AI projects destined for failure? Inexperienced staff, poor planning, and a shoehorned approach to agile development are all stifling innovation
Briefly

"AI projects have two components: the technology as a platform and the organization of the project. These elements enable organizations and AI tools to work together to solve pressing business problems."
"However, AI seems to have different project characteristics, such as costly labor and capital requirements and high algorithm complexity, that make them unlike a traditional information system."
Read at ITPro
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