Question $1$: After carefully reviewing this week's lecture materials, provide a business$-$friendly explanation of how AI$/$Machine Learning is able to $($a$)$ predict $($i$.$e$.,$ How does prediction occur?$)$ and $($b$)$ learn. To form an ideal description for parts $($a$)$ and $($b$),$ imagine you will be presenting your explanation to a class of adult professionals who are interested in learning about technical AI concepts, so structure your response accordingly and feel free to use figures$/$diagrams and examples.

Question $2$: After reading PwC$\text{'}$s article, answer the following: "What's the real value of AI for your business $($e$.$g$.,$ current or future workplace, business of interest, etc.$)$ and how can you capitalize?" Please be sure provide a technical and well$-$supported response based on the insights that you obtain from the article.

Question $3$: Share your thoughts on the introduction video. What key insights did you learn from watching this video $($related to both technical and business fundamentals of AI$)?$ Is it informative in terms of helping you develop a holistic understanding of the logic for the design of this class $($i$.$e$.,$ why we will be focusing on the selected concepts$)?$ Does the video create enough excitement to learn about the offerings of this class over the next $10$ weeks?