Exam Cloud Digital Leader topic 1 question 233 discussion

C. Creating customer recommendations. Machine learning is well-suited for tasks like creating customer recommendations. By analyzing large amounts of data (such as customer behavior, preferences, and past interactions), machine learning models can predict and suggest products or content that users are likely to be interested in. This is a common use case in e-commerce, streaming services, and social media platforms. The other options are not ideal use cases for machine learning: - A. Classifying data with no prior examples: Machine learning typically requires training on labeled data or prior examples to classify new data. - B. Tasks that require human experience and intuition: While machine learning can automate certain tasks, some tasks requiring nuanced human judgment and intuition are not easily replaced by algorithms. - D. Solving ethical dilemmas: Machine learning is not designed to handle complex ethical decision-making, which involves human values and context.

C is the one, rest all can be ignored

Cannot be B - even AI cannot replace human intuition! (well, so my tarot card reader tells me anyway)

C. Machine learning is well-suited for tasks that involve pattern recognition, prediction, and decision-making based on data. Creating customer recommendations is a classic example of a use case where machine learning algorithms can be effectively applied. It is not B because machine learning can augment human decision-making and automate repetitive tasks, but it may not fully replace tasks that require human experience, intuition, and subjective judgment, such as creative problem-solving, critical thinking, and ethical decision-making.

I think its B