Angela is explaining the advantages of machine learning in Google App campaigns to her colleagues. Which two statements are strong arguments for using machine learning over human input? (Choose two)

Analysis of Correct Answer(s) - Machine learning can analyse millions of signals and placements in real time. This is a primary strength of automated systems like Google App campaigns. A human cannot possibly process the vast amount of data—including user behavior, device information, time of day, and location—across millions of potential ad placements in an instant. Machine learning excels at this, making real-time bidding adjustments to find the most valuable users at the most efficient cost. - Machine learning reduces human bias and common errors. Advertisers may have preconceived notions about which audiences or creatives will succeed, leading to suboptimal choices. Machine learning operates purely on performance data, removing this human bias and discovering opportunities a person might overlook. It also automates complex settings, minimizing the risk of manual errors.

Analysis of Incorrect Options - Machine learning is more capable of interpreting human emotion. Interpreting nuanced human emotion and creative context is still a uniquely human strength. Machine learning in advertising focuses on behavioral signals (clicks, installs, actions), not emotional states. - Machine learning can have a better understanding of business objectives. The advertiser is responsible for setting the business objectives (e.g., target cost per install). The machine learning model is a tool that optimizes toward the specific goals it is given; it does not have an innate or superior understanding of the company's broader market strategy.