mpanies require assistants to automate monotonous tasks (for example. parsing tenders to generate trends and improve procurement efficiency).

models (LLM) for document analysis has reduced the time for preparing tender applications by 30-40%. This trend confirms that businesses are moving from experiments to industrial implementation of AI. where the key factors are the speed of integration and ROI (an indicator that reflects the profitability or return on investment in the business).

Vera Kraevskaya. CEO of VisionService LLC. confirmed that the demand for AI assistants has grown. and in her opinion. this rcs data was expected. “Over the past year. the market has learned to work with artificial intelligence. Mature solutions have emerged that can be implemented not in theory. but here and now. It is what sap tools are most popular in big data?  especially important that the technologies have become safe for business: increasingly. AI works within the company’s perimeter. without the risk of leaking sensitive data.” she noted.

According to Alexander Krushinsky. Director of the Voice Digital Technologies Department at BSS LLC. the growth dating data rate of orders in the corporate segment for AI assistants in 2024 remained at the level of previous years. “In this segment. we are seeing more like 30-40% annual growth. Perhaps the sevenfold growth on the platform occurred due to small pilot projects related to testing generative artificial intelligence.” Alexander Krushinsky suggested.