Google leans into workflow capture

Google is recasting its cloud artificial intelligence pitch around software that does a job, not just models that answer prompts, and it is reviving the Data Studio name as part of that shift. (cloud.google.com) Google said on April 10 that “Data Studio,” formerly Looker Studio, will become a single place to browse reports, BigQuery conversational agents, and data apps built in Colab notebooks. It also split the product into a no-cost Data Studio tier and a paid Data Studio Pro tier sold through Google Cloud and Google Workspace administration tools. (cloud.google.com) The company drew a line between Data Studio and Looker, its enterprise business intelligence platform. Google said Data Studio is for personal analysis and quick reports across products such as BigQuery, Google Sheets, and Google Ads, while Looker remains the governed system for companies that want a central semantic model and tighter controls. (cloud.google.com) That product framing also shows up in Google Cloud Next marketing before the April 22-24, 2026 conference in Las Vegas. The event site says attendees will learn how to “build your next agent,” and its generative artificial intelligence pages promise tools for “process workflows,” customer support, coding, and workplace search rather than only access to foundation models. (cloud.withgoogle.com, cloud.withgoogle.com) The reporting tool itself has long been a workflow product in practice. Google’s current product pages say Looker Studio connects to more than 800 data sources, including more than 600 partner connectors, and lets users build drag-and-drop dashboards, share reports, and embed them on web pages. (cloud.google.com, docs.cloud.google.com) Google first brought Data Studio into the Google Cloud family about five years ago, then renamed it Looker Studio after buying Looker in 2019. The April 2026 rename back to Data Studio restores a brand that many marketers and analysts already associated with quick reporting, while leaving Looker to cover higher-governance business intelligence work. (cloud.google.com, cloud.google.com) The same message surfaced outside analytics on April 14, when Technogym announced a multi-year partnership with Google Cloud. The companies said they will use Gemini models and Google Cloud infrastructure inside Technogym’s artificial intelligence coach and assistant to personalize workouts, automate staff tasks, and analyze user behavior for gyms and trainers. (prnewswire.com) Technogym said its platform already runs on Google Cloud and BigQuery, and that the new work will cover text, image, and voice interactions plus operational tools for trainers. That is the same sales pattern Google is now emphasizing with Data Studio: take data already inside Google’s stack and wrap it in a task-specific interface that people can use without building a model from scratch. (prnewswire.com) Two weeks before Google Cloud Next opens, the company’s public materials point to the same bet across analytics, workplace search, and industry software. Google still sells models and infrastructure, but its latest pitch is increasingly about owning the workflow where those tools get used. (cloud.withgoogle.com, cloud.google.com)