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While the promise and potential of generative AI is great, I would agree that technologies such as these are only as good as the data behind them. I think too many organizations jump into AI projects without addressing foundational data issues and establishing governance.

Lack of quality, data governance, and AI hallucinations will probably cause most organizations to either slow/stall their adoption of AI and potentially make them hesitant to fully adopt it for more critical business operations...

While the data quality is critical, it feels like the complexities of maintaining high-quality datasets is be minimized. Focusing only on the risks and neglecting innovation and interpretability isn't a practical, balanced approach. AI Beyond Coding: buff.ly/3PDW9ba