4 Data Governance Best Practices for AI Success
Find out the key steps to bolster your data governance strategies as you prepare for AI.
In the age of AI, the need for new data governance measures is at an all-time high. One of the top concerns is the growing data volumes across organisations: 64% manage at least 1 petabyte (PB) of data, while 41% manage 500 PB of data.
Data volumes are anticipated to increase further as organisations adopt AI; Gartner predicts generative AI will account for 10% of all data produced by 2025, up from less than 1% today.
That means now is the time to determine the best strategies to govern your data and workspaces as you integrate AI into your organisation.
Our checklist provides a detailed run through of the best actions to take to ensure you can make the most out of your AI tools, including:
- Ensure data quality
- Enhance data security
- Establish a data governance framework
- Implement lifecycle management
Download the checklist now to equip your organisation with the strategies essential for AI success.
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