For many businesses today, the biggest hurdle is not figuring out where to use AI but making sure the AI projects they choose actually work well in the real world. Many organizations have started with pilot programs, proofs of concept, and individual AI tools, but they often lack a clear strategy for putting these ideas into practice. Issues like disconnected data, inconsistent processes, and gaps in workflow integration can make it tough to move forward effectively.
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