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AI Model Governance with CDGC
This webinar is intended for data governance professionals, data stewards, solution architects, AI/ML practitioners, cloud data engineers, and business and technical users involved in AI model governance.
The session highlights the importance of AI model governance by discussing key use cases and an overview of the AI model development process with a focus on governance. You will learn how Informatica Cloud Data Governance and Catalog (CDGC) support AI model governance by scanning model technical details, including lineage, data quality, versioning, and important model-specific metrics. We will also explore how the enterprise catalog serves as a metadata foundation, helping answer critical questions about AI usage. Additionally, we will cover how Informatica CDGC scans AI models in Databricks and Google Vertex AI and manages associated business assets.
By the end of the webinar, you will have a clear understanding of AI model governance and how Informatica CDGC can empower your organization to govern AI models effectively for compliance, transparency, and trustworthiness. This session will help you leverage tools to track AI model lineage, understand training data quality, and maintain traceability, ensuring your AI systems are ethically governed. The demos will provide practical insights into scanning and managing AI models from Databricks and Google Vertex AI.
Here is the agenda for this session:
- Introduction
- What is AI model governance and why it matters?
- Overview of AI model development process with governance focus
- How CDGC supports AI model governance?
- Scanning AI models in Databricks
- Scanning AI models in Google Vertex AI
- Managing business assets related to AI governance
- Key governance aspects
- Demo
- Q&A
Speakers:
- Avanish Srivastava, Senior Manager, CSA
- Khadarvali Shaikh, Principal Solutions Architect, CSA
- Vivek Singh, Senior Solution Architects, CSA