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The Importance Of Data Governance And Security For AI Readiness

Mar 05, 2024 - forbes.com
The article emphasizes the importance of data governance and security in the wake of recent high-profile breaches and increasing regulatory scrutiny. It highlights the need for organizations to govern and secure their data to prevent misuse, especially as they increasingly deploy predictive analytics and generative AI. The author, Taylor Brown, COO of Fivetran, outlines the principles of data governance, including observability, control, and scalability, and data security, which involves preventing unauthorized access to sensitive data.

The article also underscores the legal and competitive risks posed by poor data security and governance. It suggests that organizations should rely on software and platforms that natively support data governance and security capabilities, rather than trying to build these capabilities themselves. The author concludes by stressing that good data governance and security are essential for tracking data provenance, maintaining a single source of truth, and understanding and correcting data products when they produce poor results.

Key takeaways:

  • Data governance and security are becoming increasingly important due to high-profile breaches, cybersecurity failures, and growing scrutiny from regulators.
  • Data governance involves ensuring observability, control, and scalability of internal data management, while data security involves preventing unauthorized access to sensitive data by external actors.
  • Companies should prioritize robust data governance and security practices to safeguard customer and proprietary data, not only for competitive advantage but also to avoid legal dangers.
  • Good data governance and security practices are essential for regulatory compliance, tracking the provenance of data products, maintaining a single source of truth, and correcting data products when they produce poor results.
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