Gartner predicts that over 30% of GenAI projects will fail by 2025 due to issues like poor data quality and escalating costs, making it challenging for organizations to prove value. Deployment costs for GenAI models can range from $5 million to $20 million, with varying levels of risk and impact based on use cases and approaches. Despite challenges, early adopters have seen revenue increases, cost savings, and productivity improvements, highlighting the potential benefits of GenAI when properly implemented and assessed.
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