CURATORSHIP AND DATA ADMINISTRATION FOR THE AI AGE

In the technological landscape increasingly dominated by artificial intelligence, "Curatorship and administration data for the AI age" emerges as an indispensable read for professionals who want to not only understand, but master data management in a world where the value of information has never been more strategic.

This book reveals the crucial role that data plays in structuring and succeeding AI solutions, offering a detailed and practical approach to data curation and stewardship.

In an environment where the volume and complexity of data grows exponentially, proper curation ensures that data is organized, analyzed, and preserved efficiently and securely.

This book explores how to manage this lifecycle, from collection to governance, discussing tools, strategies, and best practices that ensure not only data integrity, but also its optimal use in AI applications.

Main topics covered:
- Data Curation: collection, processing, analysis, storage and preservation.
- Metadata and documentation: the importance of clear structuring and efficient access to data.
- Ethical and legal policies: how to ensure compliance and security in a globalized data environment.
- Data lifecycle management: strategies for monitoring and efficiently managing data throughout its use.
- Data Administration: organizational structuring, data stewardship profiles, and integration with DBA teams.
- Difference Between Data Curator and Data Steward: Understanding Complementary Roles in the Data Ecosystem.

Each of these topics is covered in depth, allowing the reader to understand not only the technical needs but also the legal, ethical, and operational requirements for handling large-scale data.

What the reader will get from the book:
- Mastery of data curation best practices: Including strategies for collecting, processing, and analyzing large volumes of data.
- Ability to ensure legal and ethical compliance in data stewardship in an increasingly regulated digital world.
- Practical tools and techniques for implementing data governance policies, allowing for greater efficiency and security in business operations.
- Understanding the lifecycle of data, with insights on how to maximize its value in different contexts.
- Strategies for integrating AI and data analytics, providing a clear view of how data is transformed into valuable insights for businesses.

Target audience:
- Information technology professionals who want to improve their skills in data management in the age of AI.
- Data scientists and analysts who work with large volumes of information and need to optimize data collection and preservation processes.
- Executives and managers who need to understand the importance of data curation for AI-based business strategies.
- Students and researchers in information science and artificial intelligence, seeking a clear and practical vision of how data structures the future of AI.

Understanding the value of data and how to use it strategically is not only a competitive advantage, but a necessity to survive in a highly digitized market.

Acquire this book and transform the way your company handles data. Whether you're a technical professional or business executive, this book will expand your perspective and give you the tools to excel in an environment where information is the greatest asset.

About the author:
Marcus Pinto – Prof. Marcão – has a master's degree in Information Technology and works in the field of information architecture. IT professional with decades of experience in data intelligence has been working in the area of information technology since the mid-1980s, especially in the area of information architecture/attribute engineering, systems development and data warehouse.