Rivalry is the main driving mechanism of progress, and the artificial intelligence of one of the peaks of human thought. Among other things, he also participates in the distribution of forces in continuous business struggle for customers. As market competition stimulates
Representatives of McKinsey Global Institute believe that in the next decade, the AI has every chance to add $ 13 trillion to global GDP. These studies are based on polls of nearly 2000 company managers around the world. At the same time, the areas of managers are completely different.
Despite the great interest in digital technologies, by 2017, only 37% of companies applied cloud technologies, processing large data and network programs. Of the 37%, a smaller part tried to use AI — only 3%. McKinsey researchers suggest that in 2035 the relevant technologies will be introduced already in 70% of companies that are divided into three categories:
By 2018, almost all areas of activity tried at least in test mode the benefits of machine learning and neural network. Consider the results of some of them.
IBM is one of the leaders in the AI study. The American giant of digital technologies is constantly looking for ways to test their systems in the real world, and representatives of the real sector seek to get into the first category of the above companies. One of them is a company that is engaged in insurance — Fukoku Mutual Life Insurance. As a result, the neurosette reduced the state for 34 employees, whose task was to track medical certificates. The Insurance Corporation hopes to recoup the costs ($ 2 million) for 2 years, increasing the productivity of work by 30%.
The World PayPal payment system applied the AI in tracking suspicious transactions, which made it possible to reduce the level of dishonest operations up to 0.32% with an average of other systems — 1.32%. The benefit is obvious — the high loyalty of customers and the lack of problems with the return of funds by PayPal. Visa reacted to PayPal success and announced cooperation with IBM in the direction
As a result of the IBM survey, it turned out that 74% of leading transport companies are waiting for the ubiquitous appearance of unmanned cars not earlier than 2025. Systems that manage such a vehicle must handle the terabytes of data on other machines, pedestrians, condition of the road, weather, etc. instantly.
Yandex has long conducted a test drive of the first unmanned taxi and even concluded an agreement with KAMAZ to jointly develop trucks without a driver. It is expected that the first series of such trucks will be released in 2025. In August 2018, the city of Innopolis became the first settlement of Europe, in which it will be possible to use the services of a unmanned taxi. If the autonomous prius shows itself well, there will be launched by the same taxis in larger cities.
UBER Crashing Service uses AI to form a pricing policy, collecting and analyzing data on landing and disembarking areas, taxi order frequency. The richer the areas and above the number of taxi call, the big amount will be put forward for payment — a representative of the user department of Daniel Count told about it.
In addition, competition in the Russian market forced the Uber and Yandex.Taxi to conduct a merger in the fight against GC «lucky» (Fasten Russia and «lucky»). In 2020, the result of the introduction of artificial intelligence in Uber and Yandex should have a positive effect on market competition — while the advantages of the company receives only in the information space. According to the Fasten blog, the company also leads work on the use of artificial intelligence.
Retail — one of the most competitive types of business. To access the leading positions, there is already no expensive advertising, a better passing place, high-quality copywriting, the presence of a popular product and even such tricks as
Alibaba already uses this technology for personalization — the process of determining the preferences of each client. An excellent example is the day of bachelors on November 11 in China. This holiday is accompanied by a variety of purchases that will not be made without personalized advertising. Create 400 million personalized banners in preparing for one day — the task is for a neural network. In addition, the computer can respond to 4 million simple questions per day, which is very strongly unloading Alibaba call-centers.
Taobao platform uses deep learning technology to search for images. Thanks to this, customers can find the things you like from the picture, which is not on Amazon — a significant functional advantage over the competitor. Despite this, the American company succeeded in using artificial intelligence in voice shopping, inventory optimization and dynamic pricing. Fighting Alibaba and Amazon at the impact speed of AI is one of the vivid examples of competition in the use of AI in the field of trade.
The process of smelting ferroalloys involves the separation of metal for homogeneity. Depending on the requirements in the manufacturing process, impurities are added. Data on impurities, input metal homogeneity and smell results are very much. Processing data using AI gives the most effective result. It allows you to save 5% of electricity costs in the production of ferroalloys on the Magnetagorsk Metallurgical Combine. Production of any metal can be optimized and obtaining a significant advantage in energy consumption to competitors. In the Russian market, the followers of the company «NLMK» and «OMK-IT». The food industry is represented by the GC «EFCO» and LLC «Valio».
At the moment, the AI is still used, but the benefits of its introduction will necessarily lead to the interest of competitors in this technology. The ubiquitous successful introduction of artificial intelligence in business is expected not earlier than 2025, and now companies compete for the right to be the first.