Fujitsu and Mizuho Collaborate to Revolutionize Development and Maintenance Operations with Generative AI

TL;DR:

  • Fujitsu and Mizuho Financial Group have joined forces for verification trials using Fujitsu’s generative AI technology.
  • The trials aim to enhance the quality and resilience of Mizuho’s systems during development and maintenance.
  • Fujitsu’s generative AI will be applied to automatically detect errors and omissions in system design plans and audit processes.
  • The collaboration includes the development of a technique to generate test specifications from system design plans.
  • Generative AI technologies will be integrated into work processes such as source code generation, system development, and maintenance.
  • Fujitsu’s research project with Tokyo Tech and others will contribute to practical research and improve Mizuho’s operations.

Main AI News:

In a groundbreaking partnership, Fujitsu and Mizuho Financial Group are embarking on joint verification trials to leverage Fujitsu’s cutting-edge generative AI technology for the development and maintenance operations of Mizuho’s system. Spanning from 19 to 31 March 2024, these trials signify a crucial step for Mizuho as it explores avenues to integrate AI into its operations, augmenting the quality and resilience of its systems during the development and maintenance phase.

Fujitsu, at the forefront of research and development into generative AI models, is committed to empowering system development and maintenance technology through its renowned “Fujitsu Kozuchi” framework. Under the banner of the “Fujitsu AI Platform,” this initiative aims to provide global users with comprehensive support to expedite the testing and deployment of advanced AI technologies.

Within the scope of their collaborative trials, Fujitsu and Mizuho will concentrate on applying Fujitsu’s generative AI technology to Mizuho’s system development process. The primary objective is to assess the AI’s effectiveness in autonomously detecting errors and omissions in system design plans, as well as in streamlining the audit processes. By leveraging the power of generative AI, the partnership seeks to enhance the efficiency and accuracy of Mizuho’s system development and maintenance endeavors.

Earlier this year, on 9 June, Fujitsu unveiled its AI core engine for generative AI via the “Fujitsu Kozuchi” framework. This cutting-edge technology, employed in joint trials, combines the AI core engine with Fujitsu’s profound engineering expertise. As a next step, the two entities aim to develop a technique that automatically generates test specifications from system design plans refined with the aforementioned generative AI technology. Moreover, Fujitsu and Mizuho have ambitious plans to integrate generative AI technologies into various work processes and tasks, encompassing the generation of source code, system development, and maintenance.

In an impressive collaboration that underscores the commitment to innovation, Fujitsu joined forces with the Tokyo Institute of Technology (Tokyo Tech), Tohoku University, and Riken back in May. The result was the initiation of an R&D project for distributed training of Large Language Models (LLM) on the powerful supercomputer Fugaku, with a projected release slated for the fiscal year 2024. Fujitsu intends to leverage the research findings from this project to propel practical research in the industrial landscape and effectively apply them to Mizuho’s system, thus revolutionizing Mizuho’s operations.

Through this pioneering partnership, Fujitsu and Mizuho are spearheading the adoption of generative AI technology, ushering in a new era of efficiency and innovation in system development and maintenance operations. As the trials progress, the industry eagerly awaits the remarkable advancements and breakthroughs that lie ahead.

Conclusion:

The collaboration between Fujitsu and Mizuho to leverage generative AI technology represents a significant advancement in the market. The trials demonstrate the potential for AI to enhance system development and maintenance processes, improving efficiency, accuracy, and quality. This partnership sets a precedent for future collaborations between technology and financial institutions, fostering innovation and driving the adoption of AI-powered solutions in the market.

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