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There are several real examples of proving that ML is an important part of the modern promotion of the most common business empires.
Google was one of the first to understand the prerequisites for machine learning and took advantage of them. The result did not take long: only in 2016 the company received $ 336 billion in net profit.

Realizing the importance of mechanizing some business aspects, they began work on the technological processes’ development. This giant machine has never stopped since then, constantly improving some ways of its work for users from all over the world. This huge corporation manages to regularly monitor the complex aspects of the browser, which is used by crowds of people.
How? For a long time special programs have been coping with this – the result of many years of work. Machine learning fulfills its responsibilities as part of the overall business model. The given example of this company in practice shows how decisive for the growth of the enterprise are machine learning prerequisites.

However, ML can help not only in this. Here are three more interesting points:
1. It is the way to eliminate physical limitations of all kinds.
If the company decides to fully digitize and automate data, it expands the enterprise’s capabilities by eliminating physical limitations.
The biggest problem of any business some time ago was restrictions. Small space, limited staff, a small range of possible services. Previously, a working designer before starting work on a new order was required to clear the place after the previous work. In the modern world, machine learning and the acquisition of new skills are indispensable for making commercial relationships online. Thus, you will never have a shortage of space.

2. Machine learning helps to understand the needs of users better
The proliferation of automation and mechanization helps each company focus on the needs of its customers. To increase competitiveness, anyone who dares to start a business has to clearly understand what consumers want.
The mechanism is simple: if an enterprise does not meet the needs of customers, it actually gives them to their opponents. The mechanization of business processes also helps to find out what consumers really want. The necessary data can be easily obtained by using available methods.

3. Automation helps to raise the level of efficiency of the enterprise
A fairly common situation today: the queue at the supermarket, where everyone who stands before you, scored a lot of products. And then the cash register suddenly breaks down. The exceptionally stressful situation, is not it? Think about what the procurement process would be if the cash register were not invented at all? The seller would need to calculate the price of each of the many purchases manually.

Automatic inventory, data registration from the supplier and information on procurement – mechanization has rightfully become an integral part of the world nowadays. Thus, machine learning algorithms make any business more efficient and reduce the likelihood of errors.

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