Analysis of the Development Path of Artificial Intelligence Technology in the Big Data Era

This paper systematically analyzes the development path of artificial intelligence technology in the big data era, and explores the integration mechanism of the two and their role in promoting technological progress. By sorting out the definition and characteristics of big data, the basic concepts of artificial intelligence technology and the interactive relationship between the two, the study reveals how the massive resources provided by big data for artificial intelligence drive breakthroughs in deep learning, natural language processing and other fields. At present, artificial intelligence technology has made significant progress in model optimization and cross-modal fusion, but it still faces challenges such as high computing costs and privacy security. In the future, efficient algorithms, edge intelligence and ethical governance will become the focus of development, and are expected to achieve greater value in medical care, education and urban management. This study provides theoretical reference and practical guidance for the optimization and application of artificial intelligence technology.