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AI Data Governance for Scalable Compliance in Modern Banking

Conf42 via YouTube

Overview

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Explore how modern banking institutions can implement scalable AI data governance frameworks to meet regulatory compliance requirements in this conference talk from Conf42 KN 2025. Discover the critical imperatives driving governance modernization in financial services and understand how AI evolution and containerization are transforming banking operations. Learn about the limitations of traditional governance models and examine a comprehensive unified AI data governance framework designed for scalable compliance. Delve into metadata management strategies and automation techniques that streamline governance processes while maintaining regulatory standards. Understand how to align security protocols with compliance requirements in AI-driven banking environments. Analyze real-world case studies demonstrating successful implementation of these governance frameworks and explore future roadmaps for AI data governance in financial services. Gain practical insights into building robust, scalable compliance systems that can adapt to the rapidly evolving landscape of AI and cloud-native technologies in banking.

Syllabus

00:00 Introduction and Context
00:53 The Imperative of Modern Governance
02:15 AI Evolution and Containerization in Banking
03:46 Challenges with Traditional Governance Models
04:48 Unified AI Data Governance Framework
06:23 Metadata Management and Automation
07:40 Security and Compliance Alignment
09:35 Real-World Case Studies and Future Roadmap
11:18 Conclusion and Final Thoughts

Taught by

Conf42

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