We are introducing a new capability in Connected Sheets for BigQuery that allows users to generate data forecasts directly within Google Sheets using the power of BigQuery ML (BQML) and Google’s state-of-the-art
TimesFM model. Users can now predict future sales, demand volume, or other key business metrics without needing to write SQL, use Python, or customize and train their own models.
This feature is designed for simplicity and speed. TimesFM’s powerful foundation model is pre-trained on billions of data points from real-world datasets, enabling business users to generate sophisticated predictions on their data immediately without the complex, time-consuming training pipelines typically associated with machine learning.
Key features include:
- Simple configuration: Forecasts can be created from any existing BigQuery dataset or custom query using a user-friendly configuration pane in the Sheets UIl.
- Customizable parameters: Users can adjust forecast parameters, such as the prediction horizon for how far into the future the user wants to predict and confidence intervals, or use our default options to get started.
- Granular analysis: The feature supports breakouts by any given data dimension, allowing users to run multiple time series forecasts simultaneously (e.g., forecasting sales broken down by region or product category).
- Visual insights: For single time series forecasts, Sheets automatically generates a helpful chart visualizing the forecast alongside historical data.
Getting started
- Admins: There is no admin control for this feature.
- End users: Create a Connected Sheet. On the Preview view, click on “Advanced Analytics” and then “Create a Forecast”.
Rollout pace
Availability
- Available to all Google Workspace customers and users with personal Google accounts
We are updating the administrative privileges setting for Windows device management to give administrators more control over
how local administrative access is handled on Windows 10 and Windows 11 devices, managed by Google Endpoint Management.
This update simplifies settings and provides greater flexibility for organizations that need to preserve local admin access while managing specific users via Google Workspace. Previously, managing local administrative access used a "Replace" behavior, which removed any existing members from the local administrators group before adding the newly requested ones.
Getting started
Rollout pace
Availability
- Business Plus
- Enterprise Standard and Plus
- Enterprise Essentials and Enterprise Essentials Plus
- Frontline Starter, Standard, and Plus
- Cloud Identity Premium
- Education Standard and Plus
- Endpoint Education add-on
Resources
Today, we’re releasing new adoption and usage metrics to our Gemini reports in the Admin console. These new reports offer administrators comprehensive visibility into AI feature usage and thresholds to help them better manage their Workspace subscription and Gemini adoption. This includes usage data by features, apps, and active users.
With these new metrics, administrators can better understand how users are engaging with Gemini features across Workspace apps. Admins can use this information to make decisions on AI enablement, adoption, and productivity for their organizations. This data also offers insight into when they may need to adjust their Workspace subscriptions and plan for potential upgrades when users have reached their maximum AI usage thresholds.
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Gemini usage report in the Admin console that shows per-feature data on active users and users at the limit
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User-level Gemini usage report in the Admin console that shows data across apps and overall activity
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Getting started
Rollout pace
Availability
- Available to all Google Workspace customers and Workspace Individual subscribers
Resources
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