Google has introduced specialized software agents for data tasks, promoting autonomy in human-machine collaboration. The Data Engineering Agent in BigQuery automates data pipelines and related operations through natural language. The Data Science Agent addresses tasks like data cleaning and model training, providing user feedback integration. The Conversational Analytics Agent now includes a Code Interpreter for translating natural language queries to Python code, facilitating advanced analytics without programming expertise. Additionally, Google offers APIs and a development kit for building and expanding agents. Structural enhancements to their data environments include a column engine for Spanner and support for vector searches.
The introduction of specialized software applications marks a shift towards more autonomous collaboration between humans and machines in data processing.
Data Engineering Agents in BigQuery will generate data pipelines based on natural language, allowing operations like data loads and transformations to be automated.
The Conversational Analytics Agent is being expanded with a Code Interpreter that converts natural language questions into Python code for advanced analytics.
Google's new Gemini Data Agents will provide APIs and development kits for creating customized agents and incorporating conversation-driven functionality into applications.
#data-processing #data-engineering #machine-learning #conversational-analytics #software-development
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