AI for Everyone: Week 3 Quiz

Pataasin ang iyong marka sa homework at exams ngayon gamit ang Quizwiz!

Which of the following are AI pitfalls to avoid? (Select all that apply)

✅Expecting traditional planning processes to apply without changes ✅Expecting AI based projects to work the first time ✅Expecting AI to solve everything

Why is developing an AI strategy NOT the first step in the AI Transformation Playbook?

Without having some practical AI experience and knowing what it feels like to build an AI project, a company usually does not know enough to formulate a sound strategy.

Say you are building a smart speaker, and want to accumulate data for your product through having many users. Which of these represents the "Virtuous circle of AI" for this product?

https://imgur.com/9Nasv1N.png

What is the first step in the AI Transformation Playbook for helping your company become good at AI?

Execute pilot projects to gain momentum

Because smart speakers can carry out multiple functions (such as tell a joke, play music, etc.) it is an example of Artificial General Intelligence (AGI).

F

Suppose you are building a trigger word detection system, and want to hire someone to build a system to map from Inputs A (audio clip) to Outputs B (whether the trigger word was said), using existing AI technology. Out of the list below, which of the following hires would be most suitable for writing this software?

Machine learning engineer

Of the following options, which is the most important trait of your first pilot project?

Succeed and show traction within 6-10 months

Consider this system for building a self-driving car: https://imgur.com/f2hGQjq.png The component for pedestrian detection is usually built using:

Supervised learning

What are the key steps to a smart speaker function?

Trigger word detection -> speech recognition -> intent recognition -> command execution.

According to the AI Transformation Playbook, broad AI training needs to be provided not only to engineers, but also to executives/senior business leaders and to leaders of divisions working on AI projects.

True


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