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Generative AI can revolutionize your business. But it relies on one crucial element: high-quality data. Inaccurate or biased data can lead to unreliable AI models and costly mistakes.
This playbook from Alteryx and Databricks, “Improving Data Quality in the Age of Generative AI”, will give you strategies to overcome data quality challenges for your generative AI initiatives.
Inside, you’ll learn:
- Why “garbage in, garbage out” is more relevant than ever in the age of generative AI
- Why a modern data architecture is important for ensuring data quality
- How to bring in the domain experts who understand the data best
- Actionable steps from Alteryx and Databricks to integrate best practices
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