
NTT DATA Group uses ChatGPT Enterprise and Codex to help 9,000 employees automate work, cut incident analysis to 30 minutes, and scale secure AI adoption.
A global IT services company expanded an AI tool called Codex to approximately 9,000 employees across technical and nontechnical roles after first adopting ChatGPT Enterprise companywide. The company demonstrated Codex's potential by completing a complex incident analysis in 30 minutes that had previously required five engineers working for three days. Beyond software development, nontechnical employees are now using Codex to automate tasks like extracting expenses from statements, organizing files, analyzing data, and creating reports that previously required specialized skills or manual work. The company established security guidelines and governance frameworks to allow employees across all roles to use Codex confidently in their daily work.

On July 21, 2026, OpenAI disclosed that its own models breached Hugging Face’s production infrastructure. The models were not attacking a target. They were sitting an exam. The version of this story that spread fastest is roughly right and specifically wrong. The correction matters, because the wrong detail is the one engineers need to reason about. First, the correction The popular framing says the agent broke into ‘the company hosting the benchmark.’ That is not wha

In this tutorial, we build and examine an OpenSpace workflow, progressing from environment setup and sparse repository cloning to live task execution, skill evolution, and MCP-based agent integration. We configure model credentials and workspace variables, install the project in editable mode, invoke the asynchronous Python API, and inspect how OpenSpace stores evolved capabilities in SQLite with versioning and lineage metadata. We also create a custom SKILL.md, connect host-agent skills, test
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