Data sovereignty: SBI mulling to build its own domain-specific LLM

State Bank of India is developing its own domain-specific Large Language Model to reduce reliance on external open-source solutions. This strategic shift aims to ensure technical independence and uphold data sovereignty, allowing the bank to coexist with open-source alternatives while maintaining strict control over its vast proprietary data. By fostering internal expertise, SBI seeks to mitigate risks associated with depending on third-party technologies for critical digital banking operations. This initiative highlights the growing tension between leveraging global open-source advancements and maintaining national or institutional control over sensitive information. The move underscores a broader industry realization that long-term sustainability requires owning core AI capabilities rather than merely adopting existing tools. It signals a mature approach to AI governance, where security and regulatory compliance are prioritized alongside innovation. The article is relevant to open_data as it illustrates the challenges and motivations behind proprietary data utilization. While open data promotes transparency and collaboration, this case shows how financial institutions balance these ideals with the need for data sovereignty and privacy. It raises important questions about the future of open-source AI in regulated sectors, where the benefits of open collaboration must be weighed against strict legal and security requirements.

Source: economictimes.indiatimes.com
Published on 2024-03-02

Crece valor de economía informal un 4.6 % en México »

Open Data

Related news