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
Key Speakers
Jacob Stellon - Product Manager - IBM Data and AI
Jacob Stellon is the Product Manager leading IBM's data lineage capability within Watson Knowledge Catalog. Jacob has also led multiple products in IBM's data science portfolio. He holds a bachelor's degree in engineering from the University of Notre Dame.
Ernie Ostic – Chief Evangelist, Manta, an IBM company
Ernie is Chief Evangelist at Manta, an IBM company, focusing on solutions for lineage and metadata integration. He has over thirty years of experience in the data integration space, including twenty-plus years at IBM, working in a variety of roles with responsibilities in product management and technical sales support. For most of the past decade, Ernie has been providing guidance in information governance and helping architect custom lineage solutions.