Many enterprises are racing to adopt Generative AI (GenAI) — but soon discover that the biggest challenge isn’t the technology itself… it’s the data.
Without the right data quality, structure, and governance, even the most advanced AI models can fail to deliver real value.
The truth is, AI success starts long before model training — it begins with clean, connected, and contextual data.
How prepared do you think organizations really are when it comes to their data foundations for GenAI?

likeupliftingsmart
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This is why I don't think many companies will be successful in their AI endeavors. I've been preaching about good data quality for years and nobody really seems to care. In my experience the companies with the worst data quality are Fortune 500.

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How many qualities should my data be to find how many real values in adopting GenAI?

💯 agree and have been saying the same for years in my industry. GIGO. That’s the bottom line.

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