This book addresses the crucial importance of data governance in data management in public and private organizations. The explosion of technological advances and the growing use of AI in various sectors have highlighted the relevance of data as the essential raw material for the full success of these projects. In this scenario, correct data governance becomes essential to ensure quality and security.
"Fundamentals of Data Governance" is a comprehensive book that explores everything from historical evolution to the challenges and opportunities of data governance. Organized into several chapters, the book presents everything from the fundamentals to the most effective data governance strategies.
The author details the importance of data quality, security, ethics, regulatory policies, transparency, traceability, and participation in data governance. In addition, topics such as data stewardship, capacity and scalability, training and awareness, legal compliance, data impact analysis, change management, responsibility in the use of data in AI, among others, are addressed.
The book also highlights the need to properly structure databases for AI projects, as well as differentiate data governance from data management and present specific tools and technologies for data governance. Aspects such as security, privacy, ethics, transparency, and legal compliance are discussed in detail, along with the current difficulties and prospects for the future in this ever-evolving field.
Some topics covered in the book:
. The value of information.
. History of data governance.
. Quality and trust in data.
. Data governance versus data management.
. Data governance.
. Difference between data governance for relational and nosql databases such as graphos.
. Implementation of data governance.
. Data governance tools and technologies.
. Data security and privacy in AI.
. Ethics and transparency in AI projects.
. Legal and regulatory compliance.
. Difficulties in implementing data governance.
. The future.
With a practical and up-to-date approach, "Fundamentals of Data Governance" is essential reading for professionals who work with AI, Data Science, information management, and data governance, as well as students and researchers interested in the subject. It is a comprehensive guide that offers valuable insights and strategies for achieving success in implementing AI projects through effective data governance.
Who is it for:
Aimed at IT professionals, business managers, academics, compliance experts, and technology enthusiasts, the book explores everything from the fundamentals of AI to data governance strategies to ensure quality, safety, ethics, and compliance in AI projects.
About the author.
Prof. Marcão, with extensive experience in information technology and marketing, works as a business consultant, career mentor and content producer. Author of 85 books, he uses innovative methodologies for efficient projects, contributing to business and personal development.
