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COVER FEATURE
ARTIFICIAL INTELLIGENCE
Using AI in Agriculture
According to forecasts, by 2050 the Earth's population will achieve 10 billion. It would be impossible to feed that many people without using cutting-edge smart farming technologies. High hopes are laid upon smart farming with AI seen as a foundation to handle the tasks of planning, forecasting, monitoring, analysis, and optimization.
Alexander Uzhinsky (auzhinskiy@jinr.ru), lead programmer, Joint Institute for Nuclear Research (Dubna).
Using Speech Analytics Tools in Practice
AI is increasingly used for communication analytics these days. Businesses are interested in both real-time customer behavior prediction and employee work efficiency improvement.
Galina Prokhorova (g.prokhorova@mts.ai), WordPulse product manager; Anton Kabayev (a.kabaev@mts.ai), WordPulse Group Technical Lead, MTS AI (Moscow).
Mistrust of Medical Data: Problems and Solution
Almost half a hundred medical professions exist currently in Russia. With each specialist usually being engaged in their own area, trust between medical doctors manifests itself in the form of mutually acknowledging each other’s work outcomes. Still, doctors have no full trust in the reference information represented by entries in patients’ medical records. Why is this happening, and could it be “cured”?
Alexander Prozorov (ap@rtlab.ru), CTO, RTLAB; Dmitry Volkov (vlk@keldysh.ru), senior fellow, M. V. Keldysh Institute of Applied Mathematics (Moscow).
OSJ FORECAST
Artificial Intelligence Realities: OSJ Big Seven Forecasts, v. 2024
Until recently, digital transformation was companies’ focus of attention, with everyone trying to become a “digital business” that creates value via technology. The digital business era has arrived, so companies now look for new income sources, digitalizing their operations for further cost reduction and process efficiency improvement, while the actual demand for digital experience on the part of customers, employees, partners, and suppliers grew into a pressing need. Predictive analytics, computer vision, generative AI and similar technologies, as well as providing digital ecosystem based services promise achieving new heights to the present-day businesses.
Nikolai Smirnov (nsmirnov@osp.ru), freelance writer (Moscow).
PLATFORMS
Low Code Platforms: Can We Do Without Developers?
How a low-code platform yields software development cost reduction, and is it possible to supplement professional developers altogether with one?
Sergey Rodionov (srodionov@gravitonum.com), business development director, Graviton (Moscow).
DATA MANAGEMENT
Cost-Efficient Business Maturity Level Assessment
Due to the growth of data amounts and diversity, Russian companies consider deploying data management solutions. However, no process automation system is worthwhile until the current maturity level of an organization is determined.
Anton Smirnov (smirnovanton@yoomoney.ru), BI development team lead, Yevgeny Vinogradov (jonny@yoomoney.ru), head of Analytics Solutions Department, YooMoney (Saint Petersburg).
OPINION
Company Transformation: Business Capabilities
Hoping to capitalize on the current technology boom, companies try to create a transformation project set for themselves, yet not all of them achieve success. What is the proper way of creating a project set like that, who should do this and how?
Sergey Stepanov (ssu@indy.su), enterprise architecture management expert (Moscow).
OS MEETING ROOM
Alfa-Bank: Smart Customer Service
Customer experience tracking and assessment is an essential part of a company's operations in a competitive market. Alfa-Bank has optimized customer feedback handling, implementing an end-to-end customer experience management workflow.
Nikolai Smirnov (nsmirnov@osp.ru), freelance writer (Moscow).
OS ACADEMY
Knowledge Graphs in Telecom Systems Modeling
The article describes a method of designing and modeling telecommunication systems based on the joint use of modern business process models, information and functional models developed by the TMForum organization, and knowledge graphs. The systems developed using the proposed method enable to build business models and operating models of all segments of carrier networks by linking elements of TMForum models, as well as by supplementing them with operational data received from the network in the form of log files generated by application servers, and as a result of network devices polling. The generated models can be used by telecom operators to address business and operational problems, as well as by architects of telecommunications systems for their design and modernization.
Natalia Zhukova (nazhukova@mail.ru), assistant professor, Alexander Vodiakho (aivodyaho@mail.ru), professor, Igor Kulikov (i.a.kulikov@gmail.com), undergraduate student, Saint Petersburg Electrotechnical University LETI (St. Petersburg).
