My Review 4/5

Great overview of the current AI/Machine Learning landscape circa 2018.

Premise of the book is that AI can be evaluated via a framework of providing needs and by the types of data used to fuel the training, feedback and ongoing model needs.

Comes to the table with an Economics approach. If the cost of predicting something approaches zero, business will use it constantly. The nature of data builds a strong moat that can be hard to breach. This can favor the first mover.

Date Read

2018/06/17

Date Added

2018/06/18

Goodreads book information

Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal

https://www.goodreads.com/book/show/38910346

Bookshelves: business

Author’s Note

Initial md Generated using https://github.com/jsr6720/goodreads-csv-to-md

Ajay Agrawal, Prediction Machines: The Simple Economics of Artificial Intelligence, Joshua Gans, Avi Goldfarb Harvard Business Review Press 2018 (Hardcover)1

Significant revisions

tags: 2018, book, review, Agrawal, business

  • Apr 22nd, 2024 Converted to jekyll markdown format and copied to personal site
  • Jun 17th, 2018 Originally published on goodreads

EOF/Footnotes

  1. ISBN: =”1633695670” ↩