Focuses on data ethics, data privacy, data integrity, and protecting data from the viewpoint of an organization’s internal and customer data. Covers the ethical challenges of AI and analytics systems, developing a model to provide a reliable and sustainable system complying with ethical standards, government regulations, and policies. Topics include data privacy, data regulations, bias in AI, and building a trustworthy AI system. Explores real-world scenarios and business cases, applying approaches to ethical issues organizations face throughout the complete lifecycle of analytics and AI models.