In this conversation, Pete and Stephanie discuss the rapid developments in AI and its implications for education, particularly in the context of testing and data analysis. They explore how AI can help teachers manage overwhelming amounts of data and improve instructional planning, while also addressing the challenges posed by standardized testing and the need for effective data interpretation. In this conversation, Stephanie and Pete discuss the challenges and opportunities presented by AI in education, particularly in data analysis, curriculum alignment, and test preparation. They emphasize the need for efficient data processing to enhance teaching and learning, the importance of aligning curriculum with state standards, and the potential for AI to facilitate collaboration among teachers. The conversation also touches on the impact of standardized testing on educational practices and the necessity of integrating test preparation into the core curriculum without sacrificing the integrity of the learning experience.