Data Quality Management
As artificial intelligence (AI) continues to transform the landscape of Software as a Service (SaaS) platforms, enterprises must adapt their contractual frameworks to manage the associated risks. The integration of AI-related services, particularly generative AI (GenAI), into SaaS products presents new challenges that traditional contracts may not
As organizations continue to amass immense volumes of data, accurate data management has become critical. This emerging necessity led to the development of sophisticated technologies focused on monitoring and maintaining data accuracy. Ensuring the integrity of data is paramount for making informed decisions, maintaining trust, and enhancing
The increasing frequency of cyberattacks and ransomware incidents has significantly impacted public trust in online services. As individuals become more concerned about their privacy and the security of their data, questions arise about the effectiveness of current legal frameworks and the challenges posed by emerging technologies like artificial
The East African Community (EAC) has embarked on a pivotal journey to harmonize data governance frameworks across its eight Partner States. This initiative aspires to create a seamless and secure environment for cross-border data flows, underscoring the EAC's ambition to lead in digital transformation and regional integration. The EAC Secretariat
The landscape of digital data governance is rapidly evolving, with major global digital powers adopting distinct approaches. This article delves into the data governance models of the United States (US), China, and the European Union (EU), examining their fundamental principles and exploring potential trends towards global convergence. Divergent