Fujitsu Unveils AI Framework to Overcome Enterprise Barriers in Generative AI Adoption
KAWASAKI, Japan, June 5, 2024 -- Fujitsu Limited recently announced that, to promote the use of generative AI in enterprises, it has developed a generative AI framework for enterprises that will flexibly respond to the diverse and changing needs of companies, and allow for the easy compliance with the vast amount of data and laws and regulations that companies possess. Fujitsu will make available a generative AI framework for enterprises globally as part of the Fujitsu Kozuchi lineup starting July 2024.
In recent years, in addition to general-purpose interactive large language models (LLMs), various specialized generative AI models have been developed. In the enterprise, in particular, there have been barriers to the use of these models. These barriers include difficulties with handling the large scale of data required by companies, the inability of generative AI to meet various requirements, such as cost and response speed, and the need to comply with corporate rules and regulations.
Fujitsu has developed a generative AI framework for enterprises to strengthen specialized AI that is able to solve these issues for companies. The new framework consists of knowledge graph extended retrieval-augmented generation (RAG), generative AI amalgamation technology and the world's first generative AI auditing technology.
The knowledge graph extended RAG uses knowledge graphs to link the relationships between large-scale data that companies possess and enhance the data input to the generative AI. The generative AI amalgamation technology selects the model with the highest performance from multiple specialized generative AI models based on the input task or it automatically generates by combining the models. The world's first generative AI auditing technology enables explainable output which will adhere to compliance with laws and company regulations.
Fujitsu is currently conducting a verification test using its generative AI framework for enterprises. It is expected to achieve a 30% reduction in manhours for contract compliance verifications, a 25% improvement in support desk work efficiency, and a 95% reduction in the time it takes to plan optimal driver allocation in the transportation industry.
Fujitsu will continue to add and expand its lineup of enterprise specialized AI models for a wide variety of applications, including the Japanese language and generation of coding. In addition, Fujitsu’s proposal for developing an LLM specializing in the generation and utilization of knowledge graphs was accepted by GENIAC, a project by the Japanese Ministry of Economy, Trade and Industry to strengthen development capabilities for generative AI in Japan. In this project, developing an LLM that generates lightweight knowledge graphs will enable the newly developed knowledge graph extended RAG technology to be used in a secure on-premise environment.
Fujitsu will continue to respond to the diverse needs of customers, advance the development of research technologies to solve issues in specialized business areas, and provide strong support for the use of generative AI in business.
About Fujitsu
Fujitsu’s purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.7 trillion yen (US$26 billion) for the fiscal year ended March 31, 2024 and remains the top digital services company in Japan by market share. Find out more: www.fujitsu.com.
Source: Fujitsu
