- Google Cloud adds six new AI agents to data scientists, engineers and more
- Advanced analysis becomes more accessible with natural language
- A solid data fundament is equally important but Google can help you migrate
Google Cloud has launched six new AI Agent tools to help data engineers, data scientists, developers and business users are aware of even more productivity benefits.
Sketching A, “New era, where specialized AI agents work autonomously and cooperatively to lock into insight into a scale and speed,” Data Cloud-Managing Director Yasmeen Ahmad explained the benefits of a “simple, overall, AI-native cloud” over muted tools when it comes to using AI.
In addition to new, specialized AI agents, Google Cloud also launches a number of APIs, tools and protocols as well as updates to combine data.
Google Cloud is launching even more AI agents
The first agent, intended for data engineers, is designed to automate complex data pipes by allowing engineers to describe tasks and then autonomously build and perform workflows. A separate wrench -migration agent will simplify migration from older databases such as MySQL to Spanner, eliminating hours of boring administrative work.
Data Scientists will take advantage of an agent who automatically performs exploratory data analysis, data cleaning, functional technology and ML advances offering step-by-step-step-Reasoning and collaborative feedback, while business users and analysts will need two separate agents designed to answer questions about data and interpret code with visualizations and explanations. Non-Technical users can perform advanced analyzes.
Finally, the Gemini Cli Github actions automate pull -requests, tests, reviews and implementation for developers.
“The true potential of the agent change is realized when developers not only use existing agents, but also expand and connect them to their own intelligent systems, creating a wider network,” Ahmad explained.
With its new agents, Google Cloud hopes to lower the access barrier in Advanced Data Analytics, “ERAS[ing] the line between operational and analytical worlds. “
