Businesses want to move quickly and make informed decisions, but the explosion of data in today’s organizations often can leave knowledge teams buried and business users waiting in lengthy queues for the data insights they need. AI agents promise to fundamentally change this relationship, empowering users to move faster from data to action.
Today, we are unveiling Conversational Analytics in BigQuery in preview. This new offering allows users to analyze data using natural language, breaking down the knowledge walls and time sinks that have long been the norm. Following the general availability of Conversational Analytics in Looker, this integration brings a sophisticated AI-powered reasoning engine directly into BigQuery Studio.
Data insights for data professionals, made conversational
Conversational Analytics in BigQuery is more than a simple chatbot. It’s an intelligent agent that leverages the latest Gemini models to generate, execute, and visualize answers grounded in your specific business context directly in BigQuery’s secure and scalable environment.
With Conversational Analytics in BigQuery, technical and business teams can build and deploy intelligent agents at the source, leveraging their existing data and metadata for rapid innovation. Now you can create context- and business-aware agents right where the data lives, so that all users get smart insights, coached by trusted analysts, without ever having to wait for answers in a queue or learn SQL!
Source Credit: https://cloud.google.com/blog/products/data-analytics/introducing-conversational-analytics-in-bigquery/
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