AI Marketing Statistics Every Business Leader Must Know in 2025
If you don’t have AI in your marketing, your marketing is about to die. Learn these top AI marketing statistics and future-proof yourself.
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The Evolving Hierarchy of Data Governance in the AI Age
Data Governance in the Age of AI: A Hierarchical Approach In today's rapidly evolving technological landscape, the responsible management of data is paramount. A recent video by Sabrina (@by_brini) provides a compelling framework for understanding the hierarchy of data governance, particularly in the context of artificial intelligence. The video uses a pyramid to illustrate the increasing levels of responsibility involved in data handling, starting with the basic classification of data and culminating in the more complex considerations of ethical and moral AI. "The hierarchy of data governance gives an overview on how an organisation's responsibility in regards to data life cycle management changes as technology continues to evolve." explains Sabrina in her video. The video highlights the transition from simple data classification and security to the more nuanced aspects of responsible and ethical data use. This evolution is driven by factors such as the rise of the internet, the implementation of data protection regulations like the GDPR, and the increasing use of AI systems. The presenter effectively explains how the responsible use of personal data is now a key focus for organizations, and how the ethical use of data is becoming increasingly important as AI systems become more sophisticated. The video concludes by looking toward the future, where the moral use of data will be a critical consideration. This forward-looking perspective makes the video particularly relevant to current discussions about AI ethics and regulation.
