NTT Data's Hiroaki Sato on Codex's Workflow Transformation
Hiroaki Sato of NTT Data details how their AI tool, Codex, has achieved 10,000+ users by automating complex technical analysis and enabling new workflows.
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tasks requiring significant time and expertise
From the article 2 mentionsIts primary contribution lies in its ability to automate complex technical analysis tasks, dramatically reducing the time required for such processes.
internal AI tool automating complex analysis
From the article 3 mentionsHiroaki Sato, Head of AI CoE at NTT Data, discusses the transformative impact of Codex within the organization.
reduces two-day tasks to just 30 minutes
From the article 5 mentionsIts primary contribution lies in its ability to automate complex technical analysis tasks, dramatically reducing the time required for such processes.
From the articleThe tool is instrumental in analyzing Windows kernel dumps (ETL files), identifying system slowdowns, and pinpointing the root causes, such as hypothetical kernel calls.
From the article 2 mentionsCodex, an internal AI tool, has seen remarkable growth, now boasting over 10,000 active users and fostering a significant internal community.
enabling new and efficient ways of working
From the article 2 mentionsThe tool's ability to generate HTML reports automatically after analysis is a key feature that streamlines the workflow for technical personnel.
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