Education and ensuring the right SMEs are involved in curating the data sets which are used to train AI. These SMEs should also be involved in evaluating the "thought process" used by the AI tools as well as the results.
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Anyways, regarding the AI implementation, In planning phase, companies should prioritize data quality by establishing clear policies, investing in quality data tools, and ensuring data standardization and integration. Transparency is key, achieved through documentation, data lineage tracking, and human oversight with feedback loops. Continuous monitoring, skill development, cross-functional collaboration, ethical considerations, and regulatory compliance are vital aspects to incorporate into the planning process for successful AI implementation. Saving Changes...
