Chapter 1576 Conquer

Mike, who was sitting in the audience, was always the most nervous. He had repeatedly suggested to Feng Yiping before that it was appropriate to talk about such a new theory in such a speech.

They had naturally read the boss's second monograph to be published, and they had discussed it more than once, understood the significance of this new theory, and had already made relevant applications.

Even a proud guy like Zuckerberg was full of praise after reading it, and kept saying that the boss was indeed worthy of his reputation, so he was not worried that this new theory would not get as much attention as the blue ocean strategy.

What he was most worried about was the situation before, when no one understood what the boss was talking about. After all, this was a relatively professional theory, and it was the first time it was proposed.

He was very confident that with the boss's talent in writing, his ability to control the scene, and his charm, he could easily give a speech with constant applause, just like the beginning of today.

In this case, why take such a risk?

Although he didn't quite understand the boss's emphasis on India, how much benefit could such a country with such backward infrastructure, such a huge gap between the rich and the poor, and such a low PC penetration rate bring to the company?

But the boss attached great importance to the Indian market. In this case, he had to do everything possible to ensure that the boss's intentions were fulfilled.

Then the question came. If your speech at the oldest university in India, which was also the only public speech in India, was not satisfactory, it would naturally have a significant negative impact on the subsequent arrangements and promotions.

But the boss also insisted on the content of this speech.

Once the boss insisted, not only did he have no choice, even Mr. Jin had no choice. He deeply knew that the boss was a gentle but never easy-going guy.

Since Feng Yiping turned the topic to big data, his heart has been hanging. In the following period, everyone's reaction confirmed his worries, and he was thinking about how to remedy it.

But unexpectedly, everyone burst into such enthusiasm for the boss's new theory so quickly.

He looked at the many people on and off the stage who were taking notes attentively, and then looked at the boss who was walking around on the stage with high spirits, and once again expressed deep admiration in his heart.

In fact, his worries were not unreasonable, but somewhat redundant.

Feng Yiping knew that China and India, two ancient civilizations, were very pragmatic and accustomed to taking what they wanted at the current stage of catching up with the pace of developed countries.

In his speech, he reduced the discussion of theories and used more space to explain practical applications, which was equivalent to clearly pointing out to them how to discover objective benefits from the useless data in the previous impression. How could these people present today not be interested?

At this time, some people were already excitedly thinking whether they should seize this rare opportunity and set up a startup company?

Some people were excited to send messages to classmates and friends who were not present during the intervals of recording, telling them how rare an opportunity they missed.

In the first few rows, the four giants, including Sean, all bent over and slipped out, excitedly reporting to the company.

Even the two underage twins of the Ambani family now understand the significance of their idol's speech today.

Because his new theory covers almost every aspect of life, how many opportunities are hidden in it?

There are people who don't understand it. Dixit, a photographer of the "Awakening Daily", is one of them. As an artist, he has no idea about these boring business theories, especially the new theories related to high technology.

So at this moment, looking at Feng Yiping on the stage like a sermon, and watching the audience who are like devout believers, recording his every word attentively, they are really confused.

He glanced at Cyrus, who looked very excited at this moment, but based on his understanding of him, Dixit felt that he was probably only half-understanding at this moment.

Another person who didn't understand was naturally Marika. She knew very little about business and high technology. She didn't even know what the "digitalization" and "dataization" mentioned by Feng Yiping meant. Is there any difference between these two things?

But this did not hinder her pride at this moment.

She also applied the principle Feng Yiping had just mentioned. It didn't matter if she didn't know why, as long as she knew what it was.

Although she didn't know why everyone took this speech, which she couldn't understand at all, so seriously, it was good enough to know that everyone took it seriously.

Perhaps considering everyone's level, or combining it with the reality of Mumbai, Feng Yiping finally talked about an application that she could understand and Dixit could understand.

"Then, according to this trend, those of us who don't understand movies can also use massive data and specific algorithms to predict the box office of a Bollywood movie before it is released,"

Malika was stunned. He mentioned movies. Is he taking care of me?

Feng Yiping really didn't notice her.

But how is it possible to predict the box office of a movie before it is released?

"This is entirely possible, as long as we have a database of all commercial movies in Bollywood in the past ten years. The content in the database includes budget, film genre, shooting, lineup, awards and income, etc., and then refer to the current income. and price index, then this prediction is entirely possible,"

"Similarly, another problem is easy to understand. When a film project is approved, we rely on this database and the algorithm we wrote to predict which film projects will lose money in the future,"

"Then, you can also use databases and algorithms to provide solutions for this project that is destined to lose money, such as cutting the budget or using another star,"

"In other words, as long as we have such a database and develop the corresponding algorithm, we laymen can also become excellent producers who can only make money and not lose money,"

His words made Marika very excited.

She doesn’t understand other things. Doesn’t she understand these things in the film industry?

Even if you can't win awards at international film festivals, as long as every film you star in does not lose money and brings good returns to investors, then why do you have so few film appointments?

As long as there are always good works released, how can your popularity be low? Why not jump to the front line?

Having more film appointments means that you have more opportunities to show and improve your acting skills. The more opportunities you have, just like Feng Yiping said, quantitative changes will also lead to qualitative changes. How can your acting skills not be improved?

If your acting skills have improved and you have produced more works, doesn’t that mean you have more chances to win awards?

Hey, why do you feel like you understand so many things at once? Does this count as understanding big data?

He actually allowed me to understand such high-tech theories. He is so awesome!

Dixit felt his heart become hot. If he could roughly predict the rewards in advance, wouldn't his dream be one step closer?

Yes, he is a photographer with a dream. He has always hoped that he can become a director of a movie. However, he has seen cases where the entire company was brought down by the loss of one movie. That movie made him lose money. It is a simple thing for a person to go bankrupt, so he has been unable to make this decision.

Now it seems that there is no chance that my dream will come true. Although it is difficult to achieve success and fame in one go, it is possible that it will not lead to complete failure, heavy debts, and collapse.

At this time, Andy quickly entered Feng Yiping's words into his notebook, and he couldn't hide his excitement. He had already thought of how the theory proposed by Feng Yiping could be applied in his own family.

The first is the maintenance of production lines. He believes that monitoring and maintaining production lines installed in workshops in advance must be easier than monitoring vehicles working on the road or in the air.

As long as this work can achieve practical results and improve the utilization rate of the production line, the rewards will be huge.

In the same way, this theory can also be applied to cost control. For a giant like theirs with an annual steel output of more than 50 million tons, if the cost is reduced by even one thousandth, that is a very considerable number.

Most importantly, in the field of mergers and acquisitions that I am responsible for, this theory can provide very effective help. It will help me select the most suitable acquisition targets on a global scale and make reliable decisions on post-acquisition development. Prediction.

Sean couldn't sit still at this time. He really felt that the more contact he had, the more he underestimated Feng Yiping.

He has only arrived in India for a few dozen hours and has already discovered and grasped two promising projects. But now, after the blue ocean strategy, he has proposed such a new one, which will also receive widespread attention. new theory.

It's just that Tata has treated you well in the past two days. Why can't you tell us about this new theory that contains huge opportunities?

He was convinced that before publicly publishing this theory, Feng Yiping must have made arrangements in many fields and in his subordinate companies.

Well, this can't be forced. Tata's ability to entertain him is actually an opportunity. Tata's hospitality to him is not nothing.

Besides, wouldn’t Feng Yiping be able to live without Tata’s hospitality?

On the stage, Feng Yiping's one-and-a-half-hour speech was coming to an end. "Big data is a resource and a tool. It informs information but does not explain it. It guides us to understand, but sometimes it also causes misunderstandings,"

“Big data does not provide the final answer, but only a reference answer, providing us with temporary help so that we can wait for better methods and answers to appear. This also reminds us that when using this tool, we should be humble and keep human nature in mind. The foundation of

"We must always remember that the best way to predict the future is not to rely on tools, but to use our subjective initiative, work hard, and actively create the future,"

"This is what I share with you today, thank you!"

But there was a moment of silence.

Feng Yiping looked back and saw Principal Veruca holding a pen and sitting there staring at him, motionless.

In the audience, many people, like Principal Veruca, were still holding pens or putting their hands on their laptop keyboards, looking at themselves intently.

Is this the end? Isn’t there supposed to be a lot left unsaid?

This is a bit embarrassing. There was no applause and the host didn't speak. Do you want me to announce everyone's exit?

A professor next to Principal Veruca touched him gently, "Huh?" He turned his head and glanced, and the professor gestured forward.

Only then did Veruca react and closed the notebook carefully, "I'm sorry, I'm sorry," he walked towards Feng Yiping with a smile.

At this time, applause broke out from the front row and a corner on the left at the same time. The two in the front row were the Ambani family's children, and the one in the corner turned out to be Mallika? Why is she here?

Feng Yiping was about to nod her, when there was a "wow" and ear-splitting applause. Then, one after another, the young people with notebooks under their arms all stood up and applauded. Feng Yiping actually looked at it for a moment. Not to Marika.

"Sorry, thank you," Veruca took Feng Yiping's hand, "Thank you, Mr. Feng, for choosing to publicize this new theory in our school,"

He knew very well that from today on, the University of Mumbai would inevitably ride on the popularity of Feng Yiping's new theory, which was destined to attract widespread attention.

"It's my pleasure,"

Feng Yiping waved to the audience, "Thank you, thank you everyone,"

The audience in the audience was still standing and applauding, and the applause had no intention of stopping.

Feng Yiping knew that his strategy had succeeded.

In a country as rich and narcissistic as India, showing off your wealth and bragging about your experiences may not necessarily be effective.

But if you can come up with a new theory, that's another matter. For such people, they will be convinced.

Yes, all the Indians in this auditorium are sincerely convinced of Feng Yiping at this time.