The data analyst team at your company uses BigQuery for both ad-hoc queries and scheduled SQL pipelines in a Google Cloud project with a slot reservation of 2000 slots. Recently, the addition of many non time-sensitive SQL pipelines has led to frequent quota errors, with logs showing around 1500 queries running concurrently during peak hours. What is the best approach to alleviate these quota errors?