Key Takeaways for Successful Data Preparation
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Good Data is Essential: Generative AI (genAI) relies heavily on relevant, accurate, and accessible data to deliver successful outcomes.
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Ongoing Data Management: Data preparation is not a one-time task but a continuous process requiring regular updates and quality checks.
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Comprehensive Data Inventory: Create a complete catalog of all data sources to manage and organize information effectively.
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Quality and Governance: Establish data quality standards and governance policies to ensure accuracy, security, and compliance.
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Avoid Common Pitfalls: Address incomplete datasets and unstructured data to enhance genAI effectiveness and insights.
