William is an online marketing manager at an advertising agency. As William learns more about machine learning, he wants to clarify the value that he still adds for his clients. What are two reasons why William can be excited about the growing impact of machine learning on marketing? (Choose two)

Machine learning automates many repetitive and data-intensive tasks in marketing, such as bidding, targeting optimization, and ad creation. This automation allows William to shift his focus from granular campaign management to higher-level strategic thinking, developing innovative approaches and long-term plans for his clients. By taking over routine operational tasks, machine learning also frees up William's time, enabling him to dedicate more effort to fostering stronger client relationships, understanding their evolving needs, and providing more personalized service. The incorrect options suggest that machine learning replaces essential human functions like client communication or performance analysis, which it complements rather than replaces. While machine learning can offer insights, human analysis is still crucial for interpreting context and making informed decisions.