Neural networks for business in Russia: where companies most often lose money

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Summary

The article looks at how businesses in Russia are applying neural networks and where those implementations most often lead to losses. It highlights common problem areas such as HR workflows, customer service, document handling, and sales automation. The piece also points to practical use cases like ChatGPT, Claude, and other AI tools being deployed across internal business processes. Overall, it frames AI adoption as a business efficiency issue with direct implications for cost control and operational performance.

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