Everyone talks about models. Very few talk about data. AI is only as good as the data it consumes.
Without clean, reliable data, even the most powerful models fail in production. What usually gets underestimated?
• Data pipelines
• Cleaning and validation
• Ongoing accuracy and monitoring
Bad data doesn’t just break AI, it produces confident wrong answers. Strong AI systems aren’t built on complexity. They’re built on well-structured, trusted data.
Invest in your data first. Everything else comes later.
submitted by /u/ConfidenceOk2467
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