Google (GOOGL) (GOOG) introduced six new AI tools at its Cloud Next Tokyo event to help companies cut the time spent on routine data work. The tools can read plain instructions, then prepare data, build pipelines, and even set up machine learning tasks without manual coding.
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The Data Engineering Agent in BigQuery can create Structured Query Language (SQL) code, connect data sources, and run tests based on a simple request. The Data Science Agent can explore and clean data, build models, and share results. A new Conversational Analytics Agent lets non-technical staff type questions and get detailed answers using Python code in the background.
Google also released an automation tool for GitHub to review pull requests and assign work, plus a migration tool to move data from MySQL into Spanner. Developers can embed these abilities into their own apps using a new API and development kit.
Google says these tools can automate up to 80% of tasks for data teams. Industry estimates suggest this could lower annual labor costs by 40% to 70%. For example, a company spending $500,000 a year on data staff could save $200,000 to $350,000. Firms may also see gains in productivity and fewer errors in their data processes.
Is GOOG Stock a Buy?
On the Street, Google boasts a Strong Buy consensus, based on 16 assigned ratings. The average GOOG stock price target is $219.36, implying a 12.31% upside from the current price.
