Technologies that support Augmented Analytics in data visualization include machine learning, artificial intelligence, and natural language processing. These technologies automate data preparation, insight generation, and visual storytelling, making it easier for users to understand complex data without requiring extensive statistical knowledge. Machine learning algorithms identify patterns and anomalies, while natural language processing allows users to query data using conversational language. Together, they create a more intuitive and efficient way to glean actionable insights from data, empowering decision-makers to act swiftly and informed.