Data Science is one of the most promising and fastest growing industries not only in Russia, but also in the world. If
World statistics
This year, the US big data market will reach$55 billion. According to the forecast for 2026, the Big Data sphere will be estimated at $236.4 billion. At the same time, the American economy loses up to $3.1 trillion every year due to the poor quality of information analysis. Many companies are considering big data technologies as one of the more promising ones. One in ten organizations using AI algorithms will generate three times the profits of competitors by 2025. Up to a third of businesses will use artificial intelligence when making strategic decisions.
“Up to a third of enterprises will use artificial intelligence when making strategic decisions”
AI-related technologies are in demand andin Russia. According to experts, artificial intelligence can additionally form about 1% of the country's GDP. To develop AI projects, the government has already launched the National Center for the Development of Artificial Intelligence and is tripling financial support for developers of intelligent systems. But initiatives related to AI are supported not only at the state level, but also at the private level.
Logistics
Equipment of Union Pacific Railroad trains with special sensors and the use of predictive analytics has reduced the frequency of derailment of cars by 75%.
Thanks to digital tools, logisticscompanies spend less time working with supporting documentation. For example, starting from 2023, the ETrN service will appear on the Sberkorus platform in Russia, which will help to issue waybills and any shipping documents in electronic format. It will speed up the exchange of documents in the supply chain, eliminate the introduction of incorrect data, and reduce paper costs.
“Big Data will speed up the exchange of documentation in the supply chain”
The medicine
British startup Babylon Health offersnew approach to healthcare. The company's solution uses not only AI algorithms to analyze the patient's condition, but the experience and recommendations of real doctors. This helps you choose the best approach to diagnosing problems and taking care of your health. The service is focused on identifying potential risks that the patient may face. The mission of the company is to make medicine accessible to a wide range of people. The app from Babylon aggregates data from various devices that a person is already using. If problems arise, the user always has the option to call the doctor via video link.
One of the Russian telemedicine developments -Project Celsus. The platform analyzes fluorography, tomography and CT using AI algorithms. Celsus helps to increase cancer detection rates and reduce the cost of medical services. The diagnostic accuracy is 93-95%, they have already conducted 1.9 million studies. The service has already received the quality certificate of the European Union.
"The platform analyzes fluorography, tomography and CT using AI algorithms"
Telecom
Telecom operators are upgrading equipment and taking a new approach to working with data. Tele2, like many international companies, uses a Hadoop cluster. This year the company increased platform capacity by 40% and dividedspace into two separate segments. In one of them, projects related to data processing are being implemented, in the other - Data Science. This increases the computing power of the system, it allows you to solve highly loaded tasks.
MTS keeps up with competitors — in 2022the company tripled the capacity of the transport network in the Moscow region. This innovation reduces delays in the transmission of big data, and also creates high-speed information channels for data centers in the metropolitan area.
“Carriers are upgrading equipment and taking a new approach to working with data”
food industry
One of the leaders in the fast food marketMcDonald's uses big data in its work. Restaurant menus are constantly changing based on various factors. Even the weather outside can influence the composition of the order: on a hot day the buyer will be offered a cold drink, and in the winter season - coffee and other warming drinks.
Dodo Pizza uses AI algorithms not onlyto create pizza recipes and select ingredients, but also to manage the internal work of the company and reduce costs. To optimize the volume of purchases and predict the consumption of raw materials, Dodo Pizza uses predictive analytics. AI studies trends, takes into account the level of sales on holidays and weekends, and analyzes marketing activity. Based on this data, a plan for the purchase of ingredients is drawn up, this eliminates over-purchases or shortages of products. They save 54 million rubles every year.
Internet Services
Algorithms are also used by American Netflix.Now, based on the viewing history, the consumer receives not only a list of recommended films and series, but also personalized trailers and individual design.
Banks
Digital transformation is the main stage of developmentbanking sector. They have been using modern technologies for a long time, processing huge amounts of data, introducing innovations and offering users individual offers.
For example, the Singapore bank UOB actively appliesAI algorithms to create a more personalized service. It analyzes the client's expenses and, based on the information received, forms unique offers for clients. The bank invested about $500 million in the development of this area, and in the first half of 2022 alone, UOB clients received about 27.3 personalized recommendations.
Tinkoff works with a huge amount of data,that need to be constantly processed - information is necessary for predictive analysis and management decision-making. For these purposes, the bank uses the Informatica Big Data Management platform. Regardless of the volume of data, the number of information sources and the analytical model, the system offers a universal tool that studies the target audience in detail.
“Banks have been using modern technologies for a long time”
Thanks to the implementation of the solution in the bank's ecosystem inThe conversion rate of marketing companies increased 10 times, the risks of working with a potential client decreased due to a more comprehensive study of the borrower's credit profile. In addition, the data acquisition time has been reduced by 5 times - business units now have quick access to a graphical representation of information, which improves the quality of work with analytics.
What problems did the Russian AI market face in 2022
Russian companies are active players in theData Science solutions. But the industry is now changing dramatically, and organizations developing intelligent systems are faced with new questions and challenges:
Equipment shortage. Restriction of deliveries of processors and video cards —a serious problem for IT companies. Import substitution in this area is not yet possible, so the best option for obtaining foreign iron is the restructuring of logistics chains and the use of new supply chains from other countries.
Data storage. From February 2022, major foreigncompanies providing services for rent began to refuse to cooperate with organizations from Russia. An alternative is data transfer to Russian Data-centers. Now many experts are talking about building a regional data center network - these technology hubs will be the most suitable replacement for foreign providers.
Datasets. Purchase of databases from foreign companieslimited. Large organizations developing their ecosystems can become full-fledged sources of datasets. It is also possible the emergence of single data operators, the creation of which is initiated by the state.
findings
- The data science market continues to grow. According to experts, the market volume will grow to $322.9 billion in 2026, with a compound annual growth rate of up to 27.7%.
- Industries where artificial intelligence is being actively implemented today are the banking sector, telecom, logistics, medicine, the food industry, and retail.
- Working with big data allows you to better understand your potential audience and increase the loyalty of current customers.
- Thanks to data analytics, companies' products become more personalized, which allows you to increase engagement and increase sales.
- AI-powered solutions not only increase the efficiency of the organization, but also reduce costs.
- Russia is an active participant in the Data Science market. In the near future, we will see the results of import substitution and the explosive growth of AI projects.
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