Data Fundamentals

Decoding the Language of Data: The Foundation of AI

Understanding and learning to work with AI means understanding and learning to work with data, first and foremost. This session introduces the different types of data that underpin AI, describes their characteristics and how they are managed, processed, stored, and utilized. We share examples, and wrap up with an open-ended Q&A session.

Dive deep into the diverse world of data types, exploring the nuanced characteristics that make each form of information unique and valuable. From structured numeric data to complex unstructured text and multi-modal information, you'll gain insights into how different data types fuel intelligent systems.

Navigate the intricate landscape of data structures, learning how information is organized, stored, and processed to power applications. Explore tabular, relational, hierarchical, and graph data models, understanding how each structure provides unique capabilities for intelligent systems. We highlight the critical role of metadata and learn how seemingly simple information can provide context and meaning to raw data.

This session bridges the gap between technical complexity and practical application, empowering you to think strategically about data as a fundamental resource for technological innovation.

• Session outline
• Introduction
• Basic Data Types
• Structured Data
• Numeric Data
• Categorical Data
• Date/Time Data
• Unstructured Data
• Text Data
• Multi-modal Data
• Metadata
• Data Structures
• Tabular Data
• Relational Data
• Hierarchical Data
• Graph Data
• Q&A

• Format
• This session is lecture-based.

• Level
• Beginner

• Prerequisite Knowledge
• None

• Learning Outcomes
• Knowledge of data types, data storage systems, data management, processing and use