Improving data quality in the age of generative AI

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
And more

Vendor:: Alteryx
Posted:: Jul 26, 2024
Published:: Jul 26, 2024
Format:: PDF
Type:: White Paper

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