Gemini Looker incorporates conversational, visual, AI-powered data discovery, and ongoing integration.
Google’s trusted semantic model serves as the cornerstone for accurate, dependable insights in the AI era, and today at Google Cloud Next ’25, it’s announcing a significant step towards making Looker the most potent platform for data analysis and exploration by augmenting it with potent AI capabilities and a new reporting experience.
All platform users can now use conversational analytics to examine their data utilising Google’s most recent Gemini models and natural language as of right now. Additionally, there is a whole new reporting experience in Looker that is intended to improve data storytelling and expedite exploration. Now, both technologies are accessible to all clients hosted on Gemini Looker.
More than just precise insights are needed by modern organizations; AI is necessary to reveal hidden patterns, forecast trends, and motivate wise action. With the addition of Looker reports and Gemini in Looker, business intelligence is now easier to use and more widely available. This frees up analysts to concentrate on work with greater impact, empowers users throughout the company, and lessens the workload for data teams.
Looker’s semantic layer, which guarantees that everyone operates from a single source of truth, is its distinctive base. Gemini Looker now provides intelligent insights and automates analysis when paired with Google’s AI, speeding up data-driven choices throughout your company.
Gemini in Looker now available to all platform users
In an effort to make intelligent AI-powered business intelligence (BI) accessible to all, you unveiled Gemini in Looker at Google Cloud Next ’24. This suite of features, or assistants, allows users to ask questions of their data in natural language and streamlines processes such as data modelling, chart and presentation creation, and more.
Since then, it has become those features a reality in preview, and now that the product is more accurate and mature, it’s time to make them available to all platform users. These include Conversational Analytics, which uses natural language queries to provide insights into your data; Visualization Assistant, which uses natural language to create custom visuals and makes it easy to configure charts and visualizations for dashboard creation.
Formula Assistant, which provides powerful on-the-fly calculated fields and instant ad hoc analysis; Automated Slide Generation, which creates insightful and instantaneous text summaries of your data to create impactful presentations; and LookML Code Assistant, which makes code creation easier by offering advice and suggestions for creating dimensions, groups, measures, and more.
Read more on Looker Gemini Launches LookML Assistant And AI Visualization
The Code Interpreter for Conversational insights is also accessible in preview, allowing business users to do intricate operations and obtain sophisticated insights, such as forecasts.
Conversational Analytics API
Also are releasing the Conversational Analytics API to extend the capabilities of conversational analytics beyond the Gemini Looker interface. Due to scalable, dependable data modelling that can adjust to changing requirements and secure data access, developers can now directly include natural language query capabilities into custom applications, internal tools, or workflows.
Using Google’s sophisticated AI models (such as NL2SQL, RAG, and VizGen) and Looker’s reliable semantic model for correctness, this API lets you create unique BI agent experiences. Within the Gemini Looker platform, developers can effortlessly use this feature to create user-friendly data experiences, facilitate intricate analysis through natural language, and even exchange insights derived from these discussions.
Introducing Looker reports
In order to empower line-of-business users and promote cooperation, self-service analysis is essential. With Looker reports, it’s integrating Looker Studio’s robust visualization and reporting features straight into the main Looker platform, building on its popularity and ease of use.
Looker reports, which include reports created from native Looker content, direct links to Google Sheets and Microsoft Excel data, first-party connectors, and ad hoc access to many data sources, provide users with improved data storytelling, expedited discovery, and expanded data connectivity.
It’s now simpler than ever to create engaging, interactive reports. Looker reports has a vast library of templates and visualisations, granular design controls, real-time collaboration tools, and the user-favorite drag-and-drop interface.
Within Gemini Looker‘s controlled structure, this new reporting environment coexists with your current Looker Dashboards and Explores. Crucially, Gemini in Looker easily interacts with Looker Reports, enabling you to take use of conversational analytics in this new reporting environment.
Faster, more reliable development with continuous integration
By acquiring Spectacles.dev, Google Cloud is empowering developers to automate the testing and validation of SQL and LookML modifications, resulting in quicker and more dependable development cycles. By guaranteeing the precision and consistency of your semantic model, which is essential for reliable AI-powered BI, strong CI/CD procedures help you establish data trust.
The launch of Looker reports, the new Conversational Analytics API, the increased availability of Gemini in Looker, and native Continuous Integration capabilities mark a significant advancement in providing a comprehensive AI-for-BI platform. Nous are making it simpler than ever to use potent AI, get reliable insights, and cultivate a culture that is genuinely data-driven.
To experience the future of BI with Gemini Looker and learn how comprehensive AI for BI can turn your data into a strategic advantage, join us at Google Cloud Next and make sure to catch this What’s new in Gemini Looker: AI for BI talk on demand after the event.
