Data Discovery: Harnessing AI, AGI, and Vector Databases for Next-Level Data Analysis

Overview

🕮 Off the shelf (OTS)

This course is designed for data analysts, data scientists, technical leads, and professionals involved in data governance, security, or compliance who want to leverage AI tools for effective data discovery and classification. It is especially relevant for those working in environments with large volumes of structured or unstructured data that must be made visible, understood, and appropriately protected.

Participants should have a foundational understanding of data systems and familiarity with enterprise data sources. Prior experience with data analysis tools is helpful but not essential.

The AI Data Discovery Training Course offers a hands-on introduction to using AI and machine learning for automating the discovery, cataloguing, and classification of enterprise data assets. Participants will explore techniques for identifying sensitive data, assessing risk, and maintaining compliance with data protection standards. The course combines practical demonstrations with conceptual instruction, enabling attendees to apply AI-powered data discovery solutions within their own data environments. Real-world use cases and interactive labs reinforce learning and provide immediate application.

Key Topics Covered:
• Fundamentals of data discovery and the role of AI and machine learning
• Identifying and classifying structured and unstructured data assets
• Automating metadata extraction and data cataloguing
• Detecting sensitive data and compliance risks using AI models
• Integrating AI discovery tools into data governance frameworks
• Addressing ethical, privacy, and operational challenges

The course is delivered over two days and includes hands-on exercises and real-world examples tailored to enterprise environments.