The Long Tail Why the Future of Business is Selling Less of More, by Chris Anderson

Overview:

Great book for anyone involved in data, machine learning, and curious about how the historical aspects of a shift from big hits, to small niches. Very interesting perspective from a major influential player in the industry.

Here Is What The Book Was About:

This book has been called the most important book since Tipping point. So essentially, a business book based on the statistical long tail. Chris Anderson coined the term.

Rating: (1 to 5)

Solid 4.15 based on the fact that while this book was written in 2008, every prediction made by the author seems to have come true. He may not have predicted the death of myspace or that google would purchase youtube however the trend has indeed played out as he outlines in the book.

Other Thoughts on The Book:

Audible offers an interview with the author in the final chapter. Very insightful and interesting to read in 2021.

Link to Book

Streaming, Sharing, Stealing: Big Data and the Future of Entertainment by Michael D. Smith, and Rahul Telang

Overview:

Are you interested in technology and the entertainment industry? Have you ever been curious about the math, economics, and story behind “moneyball” and how that is playing out in the entertainment industry? If so, then this book is well worth your time.

Here Is What The Book Was About:

Well researched and somewhat academic narrative on how big data is transforming film, TV, music, and book businesses. Excellent case study on Netflix and how they went about producing the hit show “House of Cards” in a way that was considered at the time a completely new approach.

Rating: (1 to 5)

Solid 4 based on the valuable content and solid authoritative delivery by the authors who are professors of Information Technology at Carnegie Mellon University. Although valuable content was presented, the book was a little dry at times.

Other Thoughts on The Book:

Well researched book by respected professionals who had access to tremendous amounts of data to analyze and produce this book, which hit the market in August of 2016. I found it particularly interesting that after so many years many of the authors’ predictions are indeed coming true today.

Link to Book