Chapter 12 – Automated Planning and Scheduling

1  A CNN can be trained to understand an abstract concept. (Yes | No)

Yes. A CNN can classify images and make predictions. But CNNs can analyze any type of object or representation. An image, for example, can be linked to a word or phrase. The image thus becomes a message in itself.

2. It is better to avoid concepts and only use real-life images. (Yes | No)

No. Images provide many practical applications, but at some point, more is required to solve planning problems for example.

Planning requires much more than this type of dataset. 

3. Planning and scheduling mean the same thing. (Yes | No)

No. Planning describes the tasks that must be carried out. Scheduling adds a time factor. Planning tells us what to do, and scheduling tells us when. 

4. Amazon's manufacturing patent is a revolution. (Yes | No)

No. Manufacturing clothing has been mastered by factories around the world.

Yes. With such a worldwide distribution, Amazon has come very close to the end user. The end user can choose a new garment and it will be manufactured directly on demand. This connectivity will change the apparel manufacturing processes and force its competitors to find new ways of making and selling garments.

5. Learning how warehouses function is not useful. (Yes | No)

No. False. Online shopping requires more and more warehouse space and processes. The number of warehouses will now increase faster than shops. There are many opportunities for artificial intelligence applications in warehouses.

6. Online marketing does not require artificial intelligence. (Yes | No)

No. On the contrary, artificial intelligence is used by applications for online marketing every day, and this will continue for decades.