Google's most advanced multimodal models in Vertex AI
We are thrilled to share that Gartner® has named Google a Leader in the 2024 Magic Quadrant™ for Analytics and Business Intelligence. We believe this is a testament to our strategy of delivering innovative business intelligence offerings across ad-hoc, governed, and embedded analytics, as well as our vision for integrating AI to enable our customers to do even more with their data.
Since welcoming Looker to Google Cloud in 2020, we have been focused on delivering a best-in-class analytics and business intelligence platform designed for both self-service flexibility and the most mission-critical data environments, and that runs on any cloud and for any industry.
In the past year, Google’s dramatic innovations in the world of AI have transformed how users can chat with their data , empowered users with more ways to extend their data workflows, and collaborate more easily. By tightly integrating across Google Workspace, BigQuery and Vertex AI, we are realizing our goal of accelerating our customers’ ability to gain insights .
One of Looker's core defining features is its semantic layer, which significantly enhances the accessibility of your data. The Looker Modeling Language (LookML), is used in Looker to create semantic data models that provide a unified business representation of data, translating complex technical terms into business-friendly language. With it, customers can interact with their data using familiar concepts, regardless of the underlying data structures or sources. Interacting with data is easy, with different experiences to meet different user needs, including Looker, Looker Studio, Connected Sheets, and integrations with third-party tools like PowerBI.
As AI disrupts and expands our ability to interact with data, Looker’s foundational semantic layer is more important than ever, with its ability to ground foundation models in a data model that powers intuitive and trusted conversations. Additionally, Looker’s Google-easy dashboarding coupled with best-in-class Google AI delivers self-service that accelerates decision-making, fosters a data-driven culture, and unlocks the true potential of data within an organization.
With Gemini in Looker, users are able to chat with their data in new ways, including:
Looker goes beyond traditional BI tools with a composable data platform that helps customers create custom data applications that scale as more people use them. With Looker, customers are creating new revenue streams with analytic data products that match their brand profile, backed by Looker’s secure and real-time analytics foundation and API extensibility for programmatic management of their content, users and data. Looker’s composability helps customers go beyond BI, with data-driven workflows, alerts, portals, applications and more.
Looker's composability offers several benefits:
We are proud to work with customers like UPS , Supermetrics , Veo , PrimaryBid , Trendyol and many others, who rely on Looker for modern business intelligence and data analytics capabilities that are designed for the new era of AI.
We also continue to invest in integrations across the Google ecosystem for smoother and more powerful customer experiences, including with:
We believe Google’s recognition as a Leader in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms is a testament to its innovative approach, comprehensive capabilities, and commitment to customer success. With its semantic layer, support for generative AI, and composability, Looker helps organizations unlock the full potential of their data and drive data-driven decision-making across the enterprise.
To download the full 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms report, click here , and for more information on Looker see here .
Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, Kurt Schlegel, et al, 20 June 2024
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