https://iimskills.com/can-data-analytics-be-replaced-by-ai/

Data analytics and AI are complementary technologies that often work together to extract insights from data. While data analytics involves the process of analyzing raw data to draw conclusions, identify patterns, and make informed decisions, AI refers to the simulation of human intelligence processes by computer systems.
Data analytics augments and is partially replaced by AI technologies. AI can automate data analysis, provide predictive insights, detect anomalies, personalize experiences, optimize processes, and continuously learn from data. While AI streamlines analysis and uncovers complex patterns, human expertise remains essential for interpretation, validation, and strategic decision-making. AI doesn't fully replace data analytics but complements it, offering faster, more scalable, and sometimes more accurate insights.
While AI can enhance many aspects of data analytics, it's important to note that it's not always a complete replacement. Human expertise is still crucial for interpreting results, validating insights, and making strategic decisions based on AI-generated recommendations. Additionally, ethical considerations, data privacy concerns, and regulatory requirements must be addressed when deploying AI-powered analytics solutions. AI can automate the process of analyzing data, identifying patterns, and generating insights. This automation speeds up the analysis process, allowing organizations to make quicker decisions based on real-time data.