“We have now evolved to a full end-to-end agent capability that spans pipeline building, data transformation and pipeline troubleshooting,” Yasmeen Ahmad, product supervisor of knowledge and AI at Google Cloud, instructed InfoWorld.
This implies that the agent, whereas accepting enter in pure language, can now perceive schemas, be taught from present metadata, and grasp the relationships between totally different knowledge property, enabling knowledge practitioners to have interaction with it throughout the complete knowledge pipeline lifecycle, she added.
These engagements may embrace asking the agent to carry out duties equivalent to producing an information pipeline, modifying present pipelines, and even troubleshooting points, since it will possibly analyze code and logs to determine the basis explanation for an issue and recommend or apply a repair.
