The tree wants to be quiet but the wind doesn’t stop

Take the application Things 3, for example.

The application Things 3 may not be known to many people.

In fact, this is an efficiency software that can plan a day's schedule, manage projects, and enable users to move towards their goals step by step.

It's a bit like a third-party "reminder APP".

In its previous life, Things 3 also won the Apple Design Award.

Although the app won this honor in its previous life in 2017.

But if you move this software to this time and space, you may not be able to win the Apple Design Award.

In the previous life, this application won the Apple Design Award largely because the application was well adapted to Apple's ecological environment and could be used on multiple platforms including Apple phones, iMacs, and Apple Watches.

But now Apple's own ecological environment is not perfect.

After all, it will take at least a few months for the Apple Watch, which is a very important part of the Apple system, to be released.

Therefore, even though Things 3 is not a complicated software to implement and there is no identical application in this time and space.

Moving it hastily will be largely in vain.

At least it is difficult to perfectly recreate the status of this software in its previous life.

After all, Apple has a solid part of its own ecological chain.

From this point of view, when handling, not only the application/technology itself must be considered.

You also have to consider whether the technology has corresponding hardware support.

In addition to hardware support.

Although it does not necessarily have to be perfectly compatible with all hardware support.

But we should also control variables as much as possible.

It is not so easy to control variables between two spaces and times.

From a hardware perspective alone, moving is not an easy task.

What's more, in addition to hardware, there are many factors to consider.

Chief among these remaining factors are legal factors.

Although money is not everything, with Lin Hui's current wealth, as long as Lin Hui does not touch the red line, he can basically live a prosperous life in China.

One of these two red lines is politics, and the other is law.

The transportation technology must take into account the legal environment of the times.

Take data mining technology as an example.

In the past few years, matters related to data security and commercial utilization have been programmed and standardized.

At that time, there will be clear laws and regulations regulating the use of data and data security.

But now, there are almost no clear laws when it comes to data security and data utilization.

Even the definition of data, in Lin Hui’s impression, was only officially given in the 2021 “Data Security Law” in the previous life.

The commercial utilization of data now completely falls into a gray area.

Under such circumstances, it is still very difficult for Lin Hui to get involved in data mining.

Of course, in addition to the above factors.

The most direct challenge of "transportation" comes from the technical difficulty.

Not long ago, Lin Feng was thinking about labeled data and dark data.

Although this kind of thing has great direct value and incidental value.

But it is also difficult for Lin Hui to move it.

From a purely technical perspective, there are a lot of troubles.

Lin Hui is aware of many commonly used data mining methods.

But it seems that it is very difficult to reproduce now.

Take the big data mining method based on AI and cloud computing that was commonly used to mine data in previous lives.

Judging from the name, this lousy data mining method uses three of the most popular concepts in the computer/Internet field in the past.

——Artificial intelligence, big data, cloud computing.

Indeed, this method of big data mining based on AI and cloud computing is closely related to the above three.

Follow this approach for data mining.

First, it must be applied to a cloud service center that has communication connections with multiple online service terminals.

When using this method for data mining, it is also necessary to obtain the mining evaluation index information of the big data mining business corresponding to the big data service control that can currently be executed for the big data decision-making information of the online cloud computing project.

When specifically conducting data mining, the artificial intelligence model must be configured in advance.

As for why you need to configure an artificial intelligence model?

Because only if the artificial intelligence model is configured, the index classification of the mining evaluation index information can be achieved based on the pre-configured artificial intelligence model.

In this way, it is easier to obtain the indicator classification results.

Getting the indicator classification results is not enough.

On this basis, the indicator classification results should be further divided into multiple indicator classification sets.

Then the corresponding indicator classification mining features are extracted from the multiple indicator classification sets divided by the indicator classification.

Only in this way can efficient and accurate mining be achieved.

If you want to achieve efficient big data operation efficiency in the future.

In the process of data mining, indicator classification mining features are used in addition to providing certain quantitative data.

It is also used to represent the clustering theme characteristics corresponding to the clustering theme cluster corresponding to the indicator classification set.

This in turn requires determining the mining service model between each indicator classification set based on the extracted indicator classification mining features.

That's not all. On this basis, the mining service model between each indicator classification set is determined.

Afterwards, the corresponding mining service topology map must be constructed.

According to the constructed mining service topology map.

Only in this way can the big data mining process corresponding to each indicator classification set be determined.

After determining the big data mining process corresponding to each indicator classification set.

According to the big data mining process corresponding to each indicator classification set and the subject entity relationship with subject category identification between the multiple indicator classification sets.

In this way, the big data mining process corresponding to each indicator classification set in the indicator classification results can be executed.

Lin Hui’s steps above are already quite basic.

In fact, the steps to construct the corresponding mining service topology map based on determining the mining service model between each indicator classification set are far more than as simple as described in a few sentences.

It actually involves:

How to determine the mining service model between various indicator classification sets?

How to divide each target indicator classification set covered by the same type of mining service model into a mining service distribution map?

How to reduce the distribution range of the mining service distribution map whose distribution heat map matches the preset thermal characteristics according to the distribution heat map in each mining service distribution map, and expand the distribution range of the mining service distribution map whose distribution heat map is less than the preset quantity threshold.

Get the adjusted distribution map of each mining service?

…

These problems are not easy to solve overnight.

Moving is not easy.

The same is true even for technical transfers in an abstract sense.

Involves technical transportation.

Although Lin Hui knew many things in his heart.

But as the saying goes, it is easier said than done. In fact, thinking is one thing, and actually doing it is another.

The specific implementation of moving is very troublesome.

Many seemingly easy technologies require a lot of trouble to be implemented and implemented step by step.

In this difficult situation.

Although "transportation" sounds very low-key, it is still very difficult to truly and conveniently transfer information (make full use of information from past lives).

Even though Lin Hui had limited information, it would take years and months for Lin Hui to fully utilize it and transport it.

Anyway, Lin Hui felt that he could transfer almost all the information Lin Hui knew from his previous life.
To be continued...