Summary
If you don’t know what sensitive data your organization has or who can access it, you run the risk of failing to meet data privacy regulations. It is imperative for organizations to establish an effective governance framework to better understand a data set’s journey from its origin to its end-use, how data was transformed and by whom along the way. 61% of respondents surveyed by IBM for the ‘CEO’s guide to generative AI’ report, cited concerns about data lineage and provenance as a top barrier to adopting generative AI.
In this webinar, we will discuss common regulatory standards in different industries, the financial risk of non-compliance, best practices and necessary tools like data lineage to keep pace with a dynamic regulatory environment. We will also talk about how the recent acquisition of Manta Software Inc, a world-class data lineage platform, can help complement IBM’s data and AI governance capabilities.
Key takeaways:
- How Manta, an IBM company, can enable trust and transparency in data
- How to build a data governance framework for compliance
- How data lineage can help simplify regulatory compliance
- Live demo of data lineage flow with Manta, an IBM company
Please join us in this on-demand recording Please share any questions by clicking on the Reply button. If you have not done so already, register to watch here.
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Jacob Stellon
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