Netflix is pioneering content creation at an unprecedented scale. Our catalog of thousands of films and series caters to 195M members in over 190 countries who span a broad and diverse range of tastes. Content, marketing, and studio production executives make the key decisions that aspire to maximize each series' or film's potential to bring joy to our subscribers as it progresses from pitch to play on our service. Our job is to support them. The commissioning of a series or film, which we refer to as a title, is a creative decision. Executives consider many factors including narrative quality, relation to the current societal context or zeitgeist, creative talent relationships, and audience composition and size, to name a few.

If Netflix's decisions on marketing its hundreds of original shows seem highly calculated... that's probably because they were. Netflix has outlined how it uses AI to market shows and predict their success in ways that conventional box office numbers and Nielsen ratings likely couldn't match. Effectively, it comes down to finding connections and determining the likely audience sizes. The method relies on transfer learning, where the the parameters learned from a "source task" improve the performance of a "target task." In this case, the source tasks are simple: what titles are comparable to a Netflix original, and what kind of viewership can the service expect?

Wondering how to allocate your budget to reach the most effective Facebook audiences? Facebook's Budget Optimization tool uses an algorithm to automatically optimize your budget distribution across ad sets. In this article, you'll discover what the Facebook Budget Optimization tool offers, how it works, and when you should use it. How to Use the Facebook Budget Optimization Tool for Improved Results by Meg Brunson on Social Media Examiner. As with most aspects of Facebook advertising, the most effective way to identify what's working best for your business is through testing.

Celebrity spotting at this weekend's Royal Wedding will be an automated activity for millions of Sky customers, as the broadcaster will use machine learning technology from Amazon Web Services (AWS) to name famous guests as they enter the chapel. The guests will automatically be labelled with a name tag when they reach George's Chapel in Windsor Castle, and added to a list that includes a bite-sized biography and details on their connection to the Royal couple. Viewers can then watch the service on-demand and navigate through the footage to the arrival of specific guests. Sky claims that this is the world's first live machine learning project on a large-scale event, but it may not have been possible if the wedding was just one week later, as the GDPR implementation date arrives on Friday 25 May. Sky has not received the guest list, so the broadcaster researched the likely invitees and used their images as the training data set for the system to recognise their faces.