When AI projects fail, many executives blame technology limitations or the AI tool itself. However, this mindset can overlook the root cause of many AI failures -- poor data readiness. As AI usage has grown exponentially, many enterprises are jumping into AI integrations without the proper data foundations, leading to project failures, security concerns and more.
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