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Technology governance serves as a mediator between technological innovation and controversies that surround it. Technology governance creates a balance between the political and social implications brought from new technology innovations. [2] Technology governance is a controversial topic with a wide array of stakeholders across the world.
Information technology governance is a subset discipline of corporate governance, focused on information technology (IT) and its performance and risk management.The interest in IT governance is due to the ongoing need within organizations to focus value creation efforts on an organization's strategic objectives and to better manage the performance of those responsible for creating this value ...
The Open Group Architecture Framework (TOGAF) is the most used framework for enterprise architecture as of 2020 [2] that provides an approach for designing, planning, implementing, and governing an enterprise information technology architecture. [3] TOGAF is a high-level approach to design.
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ISO/IEC 38500 is an international standard for Corporate governance of information technology published jointly by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC).
Business–IT alignment (B/I alignment) is a process in which an organization integrates and utilizes information technology (IT) to achieve business objectives.It is the ability of IT to produce business value which means the process of establishing an environment where both IT and business professionals are capable of working together in order to achieve common goals in any specific area of ...
Data governance involves the coordination of people, processes, and information technology necessary to ensure consistent and proper management of an organization's data across the business enterprise. It provides all data management practices with the necessary foundation, strategy, and structure needed to ensure that data is managed as an ...
It requires organizations to ensure transparency, data governance, and human oversight in their AI solutions. While this aims to foster ethical AI use, the stringent requirements could increase compliance costs and delay technology deployment, impacting innovation-driven industries. [citation needed]