Magzter Looking to Expand Digital Magazines into Russia, China and Brazil
Stories can be a vital tool to advocate for your ideas, cause, and company; they persuade, and they move people to action. Below, Stanford GSB faculty, alumni, and visitors including Professor Jennifer Aaker, Airbnb’s Chip Conley (MBA ‘84), and Twitter’s James Buckhouse shed light on the power of…
How Netflix Reverse Engineered Hollywood - Alexis C. Madrigal - The Atlantic
Netflix possesses not several hundred genres, or even several thousand, but 76,897 unique ways to describe types of movies.
Using large teams of people specially trained to watch movies, Netflix deconstructed Hollywood. They paid people to watch films and tag them with all kinds of metadata. This process is so sophisticated and precise that taggers receive a 36-page training document that teaches them how to rate movies on their sexually suggestive content, goriness, romance levels, and even narrative elements like plot conclusiveness.
An iStrategyLabs report found teenage users ages 13 to 17 have declined 25% within the last three years to 9.8 million in January 2014. Meanwhile, the 55-and-older subset have taken to the social network, with more than 28 million users in that demographic, an 80% growth over the same period.
Ask a Billionaire: Eric Schmidt’s 2014 Predictions: Video - Bloomberg
Suppose a drug test is 99% sensitive and 99% specific. That is, the test will produce 99% true positive results for drug users and 99% true negative results for non-drug users. Suppose that 0.5% of people are users of the drug. If a randomly selected individual tests positive, what is the probability he or she is a user?
A surprising result arises because the number of non-users is very large compared to the number of users, such that the number of false positives (0.995%) outweighs the number of true positives (0.495%). To use concrete numbers, if 1000 individuals are tested, there are expected to be 995 non-users and 5 users. From the 995 non-users, 0.01 × 995 ≃ 10 false positives are expected. From the 5 users, 0.99 × 5 ≃ 5 true positives are expected. Out of 15 positive results, only 5, about 33%, are genuine.
it is equal to Inflation rate + unemployement rate and gives an idea of economic situation of countries
If we stop labeling things as “good” and “bad,” we open ourselves up to new possibilities. To see this, play what he calls the “alternate reality” exercise. Think of a situation that you currently consider bad, then ask how someone else could view it as good.
Back in 2000, when Google was wildly popular but generating no revenue, the conventional wisdom was that their business model was uncertain. Then Overture invented keyword advertising and Google adopted the same model. This turned out to be both wildly profitable and also, remarkably, created a better experience for both advertisers and users.