This content originally appeared on DEV Community and was authored by Gigantics
In the latest episode of Data Smart by Gigantics, we dive into AI Risk Management and how data leaders can manage the risks associated with using artificial intelligence, particularly in the context of regulatory compliance.
Why is it important?
The adoption of AI is growing rapidly, but so are the associated risks, especially when it comes to protecting sensitive data and complying with privacy regulations. If you're responsible for data management or work in a DevOps environment, understanding how to mitigate these risks is crucial.
What do we cover in the episode?
AI Risk Management: Identifying and mitigating risks inherent in AI systems when handling sensitive data.
Regulatory Compliance: How to ensure your systems comply with regulations like GDPR without stifling innovation.
Recommended actions: Tools and best practices for data leaders looking to strengthen security and compliance in their organizations.
This episode is perfect for Data Leaders, DevOps, and anyone working with sensitive data who wants to better understand how to manage AI risks and compliance.
Learn more about AI Risk Management and how it can benefit your organization here:
Gigantics on LinkedIn: Data Learder's Checklist
Check out the essential points in our Data Leader’s Checklist for navigating evolving data regulations and ensuring your data management systems stay…
linkedin.com
Don't forget to leave your comments and share your thoughts on how you manage AI risks in your company!
This content originally appeared on DEV Community and was authored by Gigantics
Gigantics | Sciencx (2025-02-14T16:26:12+00:00) Data Leader’s Checklist: AI Risk Management for Compliance. Retrieved from https://www.scien.cx/2025/02/14/data-leaders-checklist-ai-risk-management-for-compliance/
Please log in to upload a file.
There are no updates yet.
Click the Upload button above to add an update.