employee from 01.01.2023 to 01.01.2026
Saint Petersburg, Russian Federation
Saint Petersburg, St. Petersburg, Russian Federation
We live in an era of digital economic transformation. Traditional management tools (budgeting, plan-actual analysis, KPI dashboards, etc.) are no longer sufficient: decisions are made too slowly and inaccurately. Artificial intelligence opens up new possibilities. We analyzed real-world cases and modern models (gradient boosting, LSTM, reinforcement learning). Four key areas were identified: financial forecasting, dynamic pricing, resource management, and risk automation. We also examined "hybrid intelligence" — the distribution of responsibility between humans and AI. Our conclusion: when used properly, AI does not replace the manager but elevates them to the strategic level. Tactics and operations remain with the algorithms
artificial intelligence, economic management, machine learning, resource optimization, risk management
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