𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗗𝗮𝘁𝗮 𝗔𝗿𝗰𝗵𝗶𝘃𝗶𝗻𝗴 Artificial Intelligence (AI) is becoming a key part of how companies work. To be successful with AI, you need good data. Many companies have a lot of data stored away. This archived data can be very useful for AI.
Here are some best practices for making your archived data ready for AI:
- Treat archived data as a valuable resource
- Make a list of all your data
- Ensure your data is accurate and complete
- Add context to your data so AI can understand it
- Use AI to classify your data
- Allow for smart searches of your data
- Support AI systems that can retrieve information from your archives
- Keep your data safe and secure
- Update your old archives to work with new technologies
- Protect your archived data so it can be used by AI
By following these best practices, you can make your archived data work better with AI. This will help you make better decisions and improve your business.
Source: https://dev.to/sam_mitchell_ee4afb8d68c3/best-practices-for-ai-ready-data-archiving-in-2026-and-beyond-461e Optional learning community: https://t.me/GyaanSetuAi