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Cloudblog
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Looker adds AI-fueled visual, conversational data exploration, continuous integration
- Looker introduces powerful AI capabilities and enhanced reporting experience at Google Cloud Next '25, built on a trusted semantic model.
- Users can now utilize conversational analytics and Google's Gemini models, along with a new reporting interface within Looker.
- AI-driven insights, hidden pattern identification, and predictive capabilities empower users across organizations, reducing data team burdens and enabling focus on strategic work.
- Looker's semantic layer combined with Google's AI provides intelligent insights and automation for data-driven decision-making.
- Gemini in Looker offers conversational analytics, visualization assistant, automated slide generation, and more to simplify data analysis.
- The Conversational Analytics API allows embedding natural language queries into custom applications or workflows for advanced analytics.
- Looker reports enhance data storytelling, exploration, and connectivity, offering drag-and-drop interface, collaboration capabilities, and broad data source access.
- The new reporting environment integrates seamlessly with Gemini in Looker for leveraging conversational analytics.
- Continuous integration in Looker, post-acquisition of Spectacles.dev, streamlines testing and validation processes, ensuring data trust and reliability.
- These advancements signify a substantial progress in delivering an AI-for-BI platform, facilitating easy access to trusted insights and fostering a data-driven culture.
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