AI Platform Updates
Stay up to date with releases and spot what could help you.
GooglefeatureCo-Create Slide Decks and Video Overviews in Gemini Notebook
Gemini Notebook now lets you shape a slide deck or video overview before it generates, for Pro and Ultra subscribers.
- Best for: Turning a pile of research sources into a deck or explainer video that covers the angle you need, not a generic summary.
- When to use it: Earlier one-shot decks or video overviews missed the point you wanted to make, or you need a specific length, language, or look.
- Who benefits: Marketers and strategists who build briefings, pitch decks, or training explainers from reports and notes.
GooglefeatureGemini in the Borderless Lakehouse (Preview)
Ask questions in plain language across company data stored in Google Cloud, Databricks, and Snowflake without moving it, for BigQuery customers.
- Best for: Getting answers from data that is split across several clouds and data platforms.
- When to use it: Your marketing or sales data lives partly in Databricks or Snowflake and partly in BigQuery.
- Who benefits: Analysts and business users at companies whose data teams run on more than one platform.
GooglemodelGemini 4 Argon (Generally Available)
Google's frontier model, limited to vetted security teams at launch, is now open to Google AI Pro and Ultra subscribers in the Gemini app and to developers and businesses on Google Cloud.
- Best for: Long, multi-step work like analyzing a financial report, building a deck from scattered sources, or reading documents that mix text, tables, charts, and images.
- When to use it: A task has to hold context across many steps or produce a long output in one pass, and a faster Flash model keeps losing the thread.
- Who benefits: Analysts, strategists, and ops leads on paid Gemini plans, plus teams building agents on the Gemini API.
GoogleapiAgent Development Kit in Five Languages
Google's toolkit for building AI agents now comes in Python, Go, TypeScript, Java, and Kotlin, for developers building agents on Google Cloud.
- Best for: Building agents in the programming language a team already uses instead of switching to Python.
- When to use it: Your engineers want to build and deploy agents on Google Cloud and work mainly in Java, Go, TypeScript, or Kotlin.
- Who benefits: Developer teams at companies standardizing on Google Cloud for their agent projects.
GooglefeatureGoogle Antigravity in the Gemini App for macOS
Start a coding agent from the Gemini Mac app that builds and tests code in the background while you keep chatting, for personal and eligible work accounts.
- Best for: Handing off a small build, like a script or internal tool, without opening a separate coding app.
- When to use it: You're already working in Gemini on a Mac and an idea needs working code, not just an answer.
- Who benefits: Non-engineers on marketing and ops teams who want to try building tools from a chat window they already use.
GooglefeatureCustomize in the Gemini App
A new sidebar menu in the Gemini app where you set how Gemini responds and connect outside apps, rolling out to all users.
- Best for: Setting standing rules once, like your writing style or formatting preferences, instead of repeating them in each prompt.
- When to use it: You keep pasting the same instructions into chats, or you want Gemini to act inside an app you already use.
- Who benefits: Marketers and content leads who want Gemini drafts to match their voice and format without extra prompting.
GooglemodelTimesFM 3.0 in BigQuery (Preview)
Google's forecasting model in BigQuery can now predict several related numbers at once and factor in known drivers like holidays or promotions, for BigQuery users.
- Best for: Forecasting metrics that move together, using outside factors you already track.
- When to use it: Your forecasts need to account for things like scheduled promotions, weekends, or holidays, and you don't want to train a custom model.
- Who benefits: Data analysts and analytics teams who work in BigQuery.
GooglefeatureLooker Data Apps (Preview)
Looker can now build interactive business apps from a plain-language description, for Looker customers on Google Cloud.
- Best for: Workflows where people need to adjust inputs, run what-if scenarios, or push updates to tools like Salesforce or Jira straight from the data.
- When to use it: A dashboard shows the problem but your team still leaves Looker to do something about it.
- Who benefits: Analytics and operations teams that already keep their metrics in Looker.
GooglefeatureGemini Agent (Private Preview)
Google Cloud's single agent for work that takes an objective, splits it into sub-tasks, and works across Workspace and other tools, in private preview for select enterprise customers.
- Best for: Handing off multi-step office work, like pulling a project update into a slide deck or scheduling a meeting across internal and external people.
- When to use it: A task spans several apps and steps and you'd rather state the goal than walk the AI through each instruction.
- Who benefits: Teams on Google Workspace Business and Enterprise plans, once it opens up beyond the preview group.
GooglefeatureSynthID Detector (Open to Everyone)
Anyone can now upload an image, video, or audio file at synthid.com to check whether it carries Google's invisible AI-generated tag.
- Best for: Checking whether a piece of media was made with AI before you share it, cite it, or respond to it.
- When to use it: An image, clip, or audio file is making the rounds and you need to know if it was AI-generated.
- Who benefits: Social, comms, and brand teams who vet user-generated content, press assets, or viral media.
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