The Director of Music Department

Wang Yifan's words were fulfilled, but Lin Husheng stopped his eager thoughts.

I chose to wait and see for the time being.

It's not because big data doesn't work well, but he understands it.

Big data is indeed useful, but it is not omnipotent, and it is not as powerful as Ari and Future Star advertise.

After all, big data is really so awesome, so how much can you predict the box office?

But as a result, it is clear that the prediction of big data has failed.

So the question is, you can't even predict the market trend, so big data dominates movie shooting, is it really OK?

What big data understands the audience better, it seems a bit untenable.

Give a simple example.

How can big data predict whether a movie of a genre that has never appeared before will be liked by the public?

How to judge whether the market can accept it?

Just when the box office of "Kung Fu" officially exceeded 3 billion, and the daily box office has fallen below the ten million mark, the domestic media, as well as Ari, Miraestar, etc., turned their eyes overseas.

Nai Fei, the pioneer and pioneer of the big data movie strategy.

Their success has made the big data movie strategy popular.

At this time, Nai Fei announced the second drama series led by big data film and television strategy, which will be launched soon!

This is the second bullet of Nai Fei's big data film and television strategy!

It can be said that not only the domestic is paying attention, in fact, film and television companies all over the world are paying attention.

So how does big data help film and television creation?

Take Naifei as an example, what is going on with their big data?

That is, when a user logs in to the Naifei account through a browser, Naifei's background technology quietly records the user's location data and device data. These memory codes also include actions made by the user during the viewing process, such as collecting and recommending to social networks.

In Nefer’s view, pausing, replaying, fast-forwarding, stopping and other actions are all actions. Every day users will generate more than 30 million behaviors on Nefer. In addition, Nefer’s subscribers will give out 4 million per day. Scoring, 3 million search requests, asking about the play time and equipment of the episode.

That's right, these are all converted into code by Nai Fei and recorded as elements of content production. And all this data means that Nefer Corporation already has an "addressable audience."

In the early years, Naifei used the above data to provide a recommendation engine business. For example, tens of millions of users can make ratings of 1-5 on a personalized web page. These ratings constitute a huge data pool, which now has a capacity of more than tens of billions. According to the data pool, Nai Fei uses a recommendation algorithm to identify viewers with similar tastes, and then makes accurate recommendations for this group of relevant content.

"Naifei may not know exactly the personal reason for clicking the pause button, but if enough people do the same thing in the same place in the entire video, then the data will begin to show meaning." The result is Nye. Fei knows his movie-watching preferences better than the audience.

This is how they "turn data into productivity"-according to official data, three-quarters of subscribers will accept Nefer's movie recommendation. This means that Nai Fei doesn't need to build a reputation for a new drama episode by episode, he only needs to recommend it to viewers labeled "Love XXX" or "Love Political Drama".

Naifei observed another popular trend through “big data”: More and more people are no longer watching the latest episodes of TV series at fixed times at fixed nights as they did 30 years ago. It is to "catch up" until after the whole season's plot is all played, choose a time and place convenient for you. On convenient devices, most of them are network devices, such as computers and iPads, for one-time viewing.

In this regard, in fact, domestic Internet giants can do the same, or even better.

Regardless of North America being the origin of the Internet, but in fact, today, because of the population, the economy, the coverage of the Internet, the habits of the masses, etc., plus Internet giants So, in terms of data, it can be said that it is even more powerful than that of Niefei!

Such as Ari!

Ari's main business is e-commerce.

But it's not just e-commerce.

What is big data? It is a user, every day on the various platforms and software behaviors under Ari's.

From these things, they can analyze their preferences, preferences, and so on.

Not just limited to movies!

Future technology is different from Star Technology. Their family thinks about new media giants, video social networking, news social networking, and so on.

They can analyze the user's preferences by analyzing the length of the user's stay in watching a certain video, as well as comments, messages, or likes, etc.!

ECCOM also has its own big data style.

Of course, it seems that everyone has their own main business, but in fact, at this stage, the giants have built a huge business empire through so many years of development, and it can be said that all aspects are involved.

Therefore, in terms of big data, the strength of the Internet giants on the Chinese side is really not comparable to Naifei.

This is actually why Ari and Future Star are so confident.

But anyway, Nai Fei is the instigator, and now, the second big data-led film and television drama is about to go online. Whether it succeeds or not has become the vane of the big data film and television strategy.

If it succeeds, then everyone can naturally raise the big data strategy, but if it fails, the consequences are actually very serious.

Because failure means that the big data film and television strategy, this idea, currently does not work.

There is no third situation. Of course, there can be other attempts in the domestic side. It can be said that the domestic Internet giants have a larger amount of big data and a wider scope.

Therefore, perhaps the better the effect can be obtained.

But it is undeniable that big data does not allow failure.

Because big data is not a person, it is data, it is not emotional, so naturally there is no mistake.

A director, if a movie does not sell well, he may still have the opportunity to continue to prove himself, because people always make mistakes.

But big data can't work, it can't fail, because big data can't make mistakes.

Making a mistake once shows that the technology is immature and the concept is unsuccessful.

At this time, under the attention of everyone, Nai Fei’s new big data film and television work was released and officially launched on the Nai Fei platform!

Of course, Wang Yifan knows that similar companies in the previous life have dominated the big data film and television strategy, but only succeeded in the first one, and the second one hit the street.

And that also declared the failure of the big data strategy. After that, few people mentioned the big data movie strategy again.

But this world is different after all, so he is curious as to whether Nefer's second movie will succeed!