Why big data and machine learning are so important for business and society

Some researchers argue that we are approaching the border of technological singularity or have already stepped over it. Whatever it was, machine learning and Big Data will have a huge impact on our society and business in the future. Computer «Mind» moves to the network, and we will have to learn to adapt to changes if we want to achieve success. In the article, we considered the essence, the role and value of these technologies.

It doesn’t matter how educated person is, in the modern world it is impossible to know everything. The times of true erudites and masters for all hands left. A person can be very smart, but in order to survive it should be a specialist. The world became too difficult for people, even in order to simply try to find out the meaningful part of the available information.

In solving this task, computers help us, but they also have limited opportunities. The machines have memory for storing information and specific computing power, determining the amount of calculations produced per second. Although these indicators may differ significantly, but now even computers face so much data that traditional methods of analysis begin to malfunctions.

Under Big Data, it is precisely such huge data arrays, non-viable to our mind and even technique that cannot be treated with the usual ways. To solve such issues, we develop special algorithms that combine

Although the impossibility of complete coverage and complexity of analysis represent a serious problem, but at the same time discover new perspectives for enterprising people who can use automated methods to achieve the tasks.

Simple example is the stock market. Analyst can view all types of information available and from time to time to make good dealings, but he will not be able to keep up with

In such situations, computerized tools come to the rescue, allowing all data that relate to the problem. Machine learning is a technology that helps people solve various tasks, not even understanding how to do it, or why a certain approach works. Computers can try out every possible option and make it very quickly.

For example, if there is a million options, but only one of them is correct, the machine will create a model of each of them and systematically determines the correct one. Though

Suppose you are the main supplier of products on a global scale. Let it be ordinary hammers widely used in construction and everyday life. The question arises: Do I need to open another hammer production plant? How to find a right answer and objectively evaluate changes in the demand globally?

One of the approaches is to take a huge bunch of data, say, 50 million posts in bank cards, and try to determine whether hammers buy more people or less. However, for processing such a number of records, several lives will be required.

Machine learning and large data can solve this problem with hammers or at least indicate us the right direction. There are many similar problems in the world, and these technologies begin to successfully solve them.

Gradually, government establish more and more standards for regulating activities in information space. The most advanced for today is the «General Regulation on Data Protection» (GDPR), which entered into force in the spring of 2018 on the territory of the entire European Union. It not only provides residents more rights to monitor personal information, but also minimizes their use. The decision caused a large resonance among the community of developers and a mass of disputes on this.

Everyone wants to be safe, and will not like it if his private data becomes public or fall into other people’s hands. However, there is a danger that political regulation misses some points.

One of the GDPR concepts provides that the user owns data about himself and services should request them only for the purposes for which they were collected. Therefore, some developers believe that it creates restrictions for certain types of machine learning. However, this is not quite true.

The fact is that computer algorithms are capable of identifying people with unusual ways that are not obvious to us and some we will not even understand. This leads to the formation of a false sense of security against «personal» data.

Although it may not be so bad, and the government has legal grounds to use machine learning analytics to identify threats. Imagine a world in which anyone can buy explosives, and then prohibit using this information to clarify the personality of the demolition. Therefore, in this issue, the extremes are unacceptable and a huge field for discussion.

Despite all the achievements, society is not fully aware of the potential of Big Data and machine learning. There are many data and humanity will continue to develop technical tools for their processing. In any case, we live in