The article discusses effective strategies for significantly reducing the size of Power BI data models, potentially achieving a reduction of up to 90%. It focuses on various techniques such as optimizing data types, removing unnecessary columns, and implementing aggregation to improve performance and efficiency in data analysis.

A recent study analyzes over 8,500 prompts to understand how ChatGPT uses search queries, revealing that it performs searches 31% of the time, often generating longer queries averaging around 5.48 words. The findings highlight trends across various industries, indicating that local and commerce-related prompts trigger more searches, while also identifying key terms that SEOs should focus on to optimize content for ChatGPT interactions.