Bad data is more than an inconvenience, it’s a revenue killer.
This week on Deconstructing Data, we’re joined by Eli Goodman, CEO and Co-Founder at Datos, A Semrush Company leading the way in enterprise data intelligence.
Eli brings powerful insights into how dirty data impacts AI model accuracy, increases operational costs, and weakens customer trust.
If you’re working with machine learning, predictive analytics, or any form of AI-driven decision-making, data quality isn’t optional, it’s business-critical.
We’ll dig into:
1. Dirty Data: Undermining AI Model Accuracy
2. Bias and Cost: The Hidden Impact of Bad Data
3. Data Quality: Protecting Revenue and Customer Trust
4. Tech Stack
Whether you’re a data leader, marketer, or founder, this episode offers a clear path to fixing the silent issue holding your AI back.
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