Best practices when using AI for data integrity management

Here are some of the best practices you can make use of when utilizing AI to improve the quality and integrity of your data:

• Clearly state your goals: Before you make use of an AI model, ensure that you are clear about what you want to accomplish. Knowing this will help guide you in your decisions in selecting the AI tool or developing the model to use for data cleansing, validation, governance, and compliance.
• Create clear and effective prompts: When using AI models, especially for generating content or answers to questions, it’s essential to prepare prompts that are concise and specific to the desired outcome. This gives rise to the importance of prompt engineering, which is a method of developing well-defined prompts to help ensure that the AI or language model understands the context and your requirements to produce relevant and accurate results.

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Creating well-structured prompts is key...