Google Moves to Automate Data Work With New AI Tools
At its recent Cloud Next event in Tokyo, Google introduced six new AI tools built to help enterprise data teams save time. These tools are part of a bigger move by Google to make data work less manual and more efficient. The company says that most data teams spend 80% of their time doing routine tasks. With these agents, Google wants to change that.
What the New Agents Can Do
One of the main tools is called the Data Engineering Agent. It works inside BigQuery and can handle complex tasks just from written instructions. For example, a data engineer can ask it to load a CSV file, clean certain columns, and link it to another table. The agent then writes the SQL code, builds the pipeline, and even creates test checks — all on its own.
Another useful agent is the Data Science Agent. It works inside BigQuery Notebooks and uses Google’s Gemini AI. It can explore data, clean it, create features, and even build full machine learning models. It can also explain what it’s doing in normal language, making it easy for users to follow along.
For users who don’t write code, the Conversational Analytics Agent has a new tool. It turns questions into working Python code, so people can run stats or make predictions just by typing questions. This gives business teams a way to get insights without needing data experts.
Tools for Developers and Code Management
Google also released some tools for developers. One is the Gemini CLI GitHub Agent, which can help manage code tasks like checking pull requests or replying to issues. It works with GitHub and responds to tagged messages, making it easy to use with team workflows.
There’s also a Migration Agent that helps move old databases like MySQL over to Google’s Spanner database. This helps companies update their systems without needing a lot of manual steps.
To help developers build on top of these tools, Google introduced two more things: a Conversational Analytics API and an Agent Development Kit. These make it easier to add AI agents into custom tools and apps.
Why This Matters
For years, data engineers and analysts have had to waste time on repeat jobs — like writing SQL, cleaning columns, or just finding the right data. This slows down work and keeps teams from focusing on useful projects. Google’s new AI agents are meant to take over these tasks.
According to TechTarget.com and SiliconAngle.com, many experts believe that companies are starting to rebuild their systems with AI in mind. Chirag Dekate from Gartner said that firms are “reconstructing” their businesses to be more AI-driven. He called this a “long-term shift,” and tools like these agents are the first step.
Personal Take
These AI agents seem like a strong move in the right direction. While many tech companies are talking about AI, Google is now giving real tools that can change how data teams work. If these tools work as promised, they will cut down wasted time and let teams focus on real business needs. But the real test will be how well they handle real-world company data and how easy they are to use at scale.
Sources: techtarget.com
