Mizuho Financial Group, Inc. collaborated with IBM’s enterprise, generative AI and data platform. Together, they have developed a proof of concept (PoC) using watsonx, to improve the efficiency and accuracy of Mizuho’s event detection operations.
The new solution demonstrated a 98% accuracy (Measurement accuracy in PoC, based on actual data) in monitoring and responding to error messages during a three-month trial.
Mizuho and IBM aim to continue expanding and validating the system in the future.
The PoC added patterns likely to cause errors in incident response to generative AI and linked an application supporting a series of operations in event detection with watsonx, helping to shorten the recovery steps and improve recovery speed.
Utilizing watsonx Mizuho also enables to facilitate in-house operations and allow for the flexible configuration of monitoring and operation menus by on-site personnel when higher levels of security and confidentiality are required.
Mizuho and IBM plan to expand the event detection and response PoC and apply it to production environments in the coming year.
Mizuho and IBM also plan to use generative AI to improve incident management and advanced failure analysis, further improving operations’ efficiency and sophistication.
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