Google's (GOOG) New AI Tools Target Big Data Savings for Companies
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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.
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