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“Now we have now developed to a full end-to-end agent functionality that spans pipeline constructing, information transformation and pipeline troubleshooting,” Yasmeen Ahmad, product supervisor of information and AI at Google Cloud, informed InfoWorld.
Because of this the agent, whereas accepting enter in pure language, can now perceive schemas, study from current metadata, and grasp the relationships between totally different information property, enabling information practitioners to have interaction with it throughout the whole information pipeline lifecycle, she added.
These engagements might embrace asking the agent to carry out duties corresponding to producing an information pipeline, modifying current pipelines, and even troubleshooting points, since it will probably analyze code and logs to determine the foundation reason behind an issue and recommend or apply a repair.