At the Digital Industry of Industrial Russia conference in Nizhny Novgorod, Andrey Belevtsev, Senior Vice President, Chief Technology Officer, and head of Sberbank’s Technologies block, addressed how cutting edge language models and cloud platforms are reshaping the way industries operate. The bank’s press service notes that his remarks highlighted both opportunities and challenges that arise when large-scale AI systems and scalable infrastructure become central to business strategy across sectors.
During the session titled Landscape of Domestic Industrial IT Solutions to Achieve Technological Independence, leaders from the energy sector and related industries explored the practical deployment of homegrown software. The discussions focused on the extent to which domestic solutions have replaced foreign software in core operations, as well as the new issues that have surfaced as technology stacks evolve. Panelists shared real world experiences, benchmarking progress against national standards, and identifying gaps where further innovation is needed to ensure reliability, security, and continuity of service.
Belevtsev stressed that when researchers and practitioners speak of a new technological quality, they are really describing a fundamental shift in how data is treated across organizational boundaries. He argued that a genuine leap in technology hinges on seamless data exchange among companies, suppliers, and other market participants. The current momentum around large language models and cloud technologies is poised to accelerate this transformation, enabling faster decision making, more accurate insights, and tighter integration of operations from procurement to production and beyond.
In outlining Sber’s role within the broader digital landscape, Belevtsev pointed to the bank as a leading technology company in the country, employing tens of thousands of IT professionals who collaborate across a wide array of platforms and services. He noted that Sber is committed to extending its technological footprint to help corporate clients harness advanced tools, from data analytics to AI-assisted workflows, so they can achieve higher efficiency, resilience, and competitive advantage. The discussion underscored how such capabilities can support sectors as diverse as energy, manufacturing, logistics, and financial services, illustrating the practical impact of domestic innovation on national digital sovereignty.
Looking ahead, the participants agreed that the pace of adoption will depend on continued investments in secure cloud architectures, interoperable data standards, and strong governance models that protect confidential information while enabling rapid experimentation. They also emphasized the importance of cultivating a skilled workforce, improving the accessibility of AI-powered solutions, and fostering collaboration between government, industry, and technology providers to build a robust domestic IT ecosystem. The session concluded with a shared vision: that responsible deployment of language models and cloud technologies can unlock new efficiencies, unlock safe data sharing with appropriate controls, and ultimately contribute to sustainable growth across critical sectors.