👉 Trend engineering is a strategic process used in data science and machine learning to identify, model, and predict emerging trends within datasets. It involves analyzing historical data to detect patterns and shifts that may indicate future trends, enabling organizations to proactively adapt their strategies. This approach often includes techniques like time series analysis, anomaly detection, and machine learning algorithms to forecast trends in various domains such as consumer behavior, market dynamics, or technological advancements. By understanding these trends early, businesses can make informed decisions, optimize operations, and gain a competitive edge in rapidly evolving environments.
