Chapter 1058 Application scenarios of big data

If Chen Changliu knew that this woman was proud of helping a certain company to operate and complete the feat of swallowing an elephant, he would definitely spit on her face.

If he had not just been reborn and had no ability to interfere, he might have interfered.

It is not that a certain company cannot acquire, but some of the conditions in the entire acquisition process are unreasonable.

Let's put it this way, after the acquisition, a certain company did not get any core technology. With the help of core technology, foreign executives became the largest single shareholder of a certain company.

Not only that, Lenovo also assumed a debt of up to 500 million US dollars.

So who is acquiring whom?

The short-haired woman thought that it was because of this performance that she could grow to this position so quickly.

If she could help those people behind her acquire the shares of Penguin this time, then her status in the Wall Street financial circle would become higher and higher in the future.

At the official opening ceremony of the cloud computing center of the flower-growing family, Guizhou Province No. 2 came in person, because the data center of the flower-growing family can be said to have opened up a development idea for them.

Guizhou Province has the best conditions for developing the data center industry in the country, but they basically did not pay enough attention to it before.

When the flower growers came to them, they paid attention to the various investment amounts they proposed, and then convened all the experts of the Policy Research Center for a large-scale demonstration, and finally they had the idea of ​​focusing on developing this track?

This track not only belongs to the high-tech industry cluster, but also has a high investment amount. Didn’t you see that the flower growers have spent more than 500 million in just one and a half years?

And this is just the beginning. The investment amount will continue to soar in the next few years. According to what the flower growers said, the total investment amount is expected to exceed 2 billion.

After the launch ceremony, No. 2 also held talks with Chen Changliu and others, mainly talking with Chen Changliu about the future development of domestic cloud computing and other aspects.

And there were also experts and scholars from the Provincial Policy Research Center in this meeting, which can be said to be well prepared.

In fact, the most important thing is that these experts want to talk to Chen Changliu, but they can’t make an appointment with Chen Changliu at all, so they can only take this opportunity.

And No. 2 doesn’t mind, he also wants to listen and find more development inspiration from it.

"Mr. Chen, with the emergence of smart phones and various apps, cloud computing has gained more and more attention. Now we have contacted many companies, and they also have intentions.

But we are not very clear about the concept of big data. I wonder if you can introduce its development direction and how big the future industry scale will be?"

The person who said this was an influential big shot in the Policy Research Center. When they talked to Chen Changliu about cloud computing just now, they were already shocked by Chen Changliu.

The depth of understanding of cloud computing by a little guy is better than that of these old guys combined.

Chen Changliu can understand the doubts of these old guys.

Let's put it this way, except for the flower-growing family, no company has proposed the application concept of big data.

It should be said that in the original time and space, it was not until 2012 that it began to enter the embryonic stage in China, and people began to pay attention to it, so it is normal for these old guys not to understand it now.

He thought for a while and said:

"How should I put it? The big data industry is a strategic emerging industry that focuses on data generation, collection, storage, processing, analysis and service.

The industry scale will exceed one trillion in 10 years at most, and it will definitely exceed 2 trillion in 15 years."

After hearing Chen Changliu's words, not only the old men, but also No. 2's eyes lit up. They didn't think Chen Changliu was bragging.

Even if Chen Changliu was bragging, this bull can definitely be implemented, because Chen Changliu himself has this kind of persuasiveness.

The leading old man swallowed his saliva and said excitedly:

"Mr. Chen, can you introduce us to some practical scenarios that can make us more concrete?"

Having said this, Chen Changliu did not hesitate to share his dry goods.

"I don't know if you have seen some of the views I put forward at the Entrepreneurs' Annual Meeting a few years ago. In the future, industries such as communications will enter the intelligentization stage?"

Hearing Chen Changliu's words, several old men nodded, because Chen Changliu's speech did not receive much attention at the beginning.

But before long, Chen Changliu's speech became a must-study for many people in the industry, especially those who do policy research like them, who don't know how many times they have studied it.

"Yes, I know. That speech is still a speech that major research institutes need to study seriously.

We are still amazed that you, at the age of 21, had such vision."

Chen Changliu didn't say much about the old man's flattery. It's a matter of human relations!

"Thank you. I was just thinking about it.

Big data has a wide range of applications. The following are some common application areas:

Financial industry:

Risk assessment and fraud detection: Identify abnormal patterns and potential fraud by analyzing large amounts of transaction data.

Investment decision-making: Predict and analyze based on market data and historical trends to assist in investment strategy formulation.

Healthcare industry:

Disease prediction and prevention: Analyze patient data to predict the outbreak and spread of diseases.

Personalized medicine: Provide customized treatment plans for individuals based on the patient's genetic, medical history, lifestyle and other data.

E-commerce field:

Precision marketing: personalized product recommendations based on user browsing and purchase history.

Inventory management: predict demand through sales data and optimize inventory levels.

Transportation field

Intelligent traffic management: analyze traffic flow data, optimize signal settings, and alleviate congestion.

Logistics optimization: plan the best transportation route and improve logistics efficiency.

Manufacturing field

Quality control: monitor data in the production process and find quality problems in time.

Equipment maintenance prediction: predict maintenance needs in advance based on equipment operation data to reduce downtime.

Education field

Personalized learning: provide personalized learning paths and resources based on students' learning behavior and performance data.

Education resource allocation: analyze regional education data and reasonably allocate education resources.

Energy field

Energy consumption prediction: help optimize energy supply and distribution and improve energy utilization efficiency.

Social media field

Content recommendation: provide relevant content based on user interests and behaviors.

Public opinion monitoring: understand the public's views and emotions on specific topics.

In short, big data plays an important role in various industries and fields, helping companies and organizations make smarter decisions and improve efficiency and competitiveness. "

Chen Changliu's eloquent words made everyone in the conference room lose their composure.

PS: The typos will be corrected later.