| | | | | | February 2026 - Product Update |  | | | | | Join us at Google Cloud Next 2026 in Las Vegas Get a sneak peek into some of the latest advancements in AI and cloud technology at Google Cloud Next this April 22-24 in Las Vegas. At the event, you will join a global community of leaders, thinkers, and doers to share ideas and immerse yourself in three full days of back-to-back lightning talks, interactive demos, guided workshops, and more. | | | | Product News and Updates | | | Supercharge data analytics workflows with agentic AI AI agents are software systems that use AI to pursue goals and complete tasks on behalf of users. They show reasoning, planning, and memory and have a level of autonomy to make decisions, learn, and adapt. | Conversational Analytics can now show reasoning in Looker and Looker Studio Conversational Analytics analyzes each query and thinks about how to respond. When you expand Show reasoning, Conversational Analytics displays a plain text explanation of the steps that it took to interpret your query. | Introducing Conversational Analytics in BigQuery 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. Conversational Analytics in BigQuery brings a sophisticated AI-powered reasoning engine directly into BigQuery Studio. | You can purchase Looker Studio Pro from the Google Workspace Admin console You can now buy as many or as few licenses as you need for your organization through the Google Workspace Admin console. Alternatively, you can contact a Google sales representative. | Looker now has full support for connections with AlloyDB for PostgreSQL Looker supports connections to AlloyDB for PostgreSQL, a fully managed, cloud-native database service from Google Cloud that is compatible with PostgreSQL. | | See the latest updates from our Help Center for Looker or for Looker Studio. | | | | Tips and Tricks | | | From asset to action: How data products have become the foundation for AI agents AI agents promise to transform how enterprises work - optimizing supply chains, automating financial audits, executing complex workflows with minimal human oversight. But most organizations aren't ready to deploy them at scale. The barrier isn't the AI itself. It's the data underneath. | Video: Embed analytics experiences in your applications using the Conversational Analytics API This video dives into the Conversational Analytics API, a powerful tool in the Gemini stack that lets anyone embed natural language data exploration directly into their own applications. Whether using BigQuery or Looker, the API allows anyone to build AI data agents that understands business logic and schema. | Enhancing Security and Automation with Service Accounts in Looker This new functionality will separate human users from machine users, providing a secure, dedicated identity for applications. This new service account user type will become the standard for all API-based integrations and automated workflows. | A Guide to Looker Performance Optimization This detailed guide synthesizes best practices into four key pillars: Understanding Looker's philosophy, optimizing and simplifying execution, enforcing guardrails and limits, and establishing insightful monitoring, with a goal to provide a starting point for improving performance while decreasing database consumption. | | | | Customer Showcase | | | Arrive empowers urban mobility with Looker through enterprise data integration Arrive utilized Looker to rapidly unify their business analytics following multiple significant acquisitions that expanded their data footprint. By leveraging Looker, the company has established a sophisticated analytics environment that accelerated previous timelines for platform migration. | Carousell accelerates reporting and preps for Gen AI with Looker multi-instance architecture Carousell optimized its data operations by implementing a multi-instance Looker architecture and a robust CI/CD pipeline, significantly improving dashboard performance and data trust. | GumGum enables ad tech innovation by unifying data management with Looker GumGum implemented Looker as its primary BI tool for managing KPIs and data modeling, centralizing data, giving external clients self-service capabilities, and enabling conversational analytics and AI. | From agency to AI-first: How Overdose Digital built the "Super Brain of Commerce" Overdose Digital built a central intelligence layer with Looker and BigQuery, then launched Project Bluesky to link data with creative production. They also used Gemini and Vertex AI to create an agentic workflow that generates hyper-localized assets with human oversight. | | | | | | | Thanks for reading our monthly update. | | | Happy Reporting, The Looker Team | | | | | | © 2026 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043 | | This email was sent to pulipuli.chen@gmail.com because you indicated that you want to receive announcements about the latest changes, enhancements, and new features from the Looker Studio team. If you do not wish to receive such emails in the future, please unsubscribe here. | | |
