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So dang enchanted with the Gemini 3.0 Flash support in Browserbase, especially for tedious data tasks! Check out the video below - Gemini navigates to the USGS website for seismic data, filters on 3D Multichannel Seismic datasets, adds all of the options for California, and then downloads as a... show more

👩‍💻 Paige Bailey

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25,681 views • 6 months ago •via X (Twitter)

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Google release its Data science Agent The Google Data Science Agent in Colab (powered by Gemini) revolutionizes data analysis by allowing users to easily formulate their analysis goals in natural language. This automatically generates fully functional Colab notebooks, which drastically reduces tedious routine work such as code creation, data import and setup. Particularly noteworthy are the flexibility of the generated notebooks, the ease of collaboration and the fast, accurate results thanks to Gemini 2.0.

Google release its Data science Agent The Google Data Science Agent in Colab (powered by Gemini) revolutionizes data analysis by allowing users to easily formulate their analysis goals in natural language. This automatically generates fully functional Colab notebooks, which drastically reduces tedious routine work such as code creation, data import and setup. Particularly noteworthy are the flexibility of the generated notebooks, the ease of collaboration and the fast, accurate results thanks to Gemini 2.0.

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Automatic code generation and data visualization for #EarthEngine and #geemap using #Gemini 🚀 Explore the power of cloud computing and #geospatial big data with minimal coding 🌎. Gemini can interpret the data on the map and iteratively improve the visualization. Check out the notebook:

Automatic code generation and data visualization for #EarthEngine and #geemap using #Gemini 🚀 Explore the power of cloud computing and #geospatial big data with minimal coding 🌎. Gemini can interpret the data on the map and iteratively improve the visualization. Check out the notebook:

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I made an AI data science team with Python. I'm excited to share my new project, the AI Data Science Team, a Python package for creating AI co-pilots and agents to assist in common data science tasks. I walk you through the GitHub page, showcasing the progress and potential of this project. I'll explain how these agents can streamline tasks like code generation and modeling pipeline creation, making data science projects more efficient. Introduction to AI Data Science Team Project Integrating Human-in-the-Loop Example: Accessing Agents for Feature Engineering Setting up Feature Engineering Agent Code On GitHub: Python AI-Tips Newsletter (stay updated as I build this project in the open):

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Matt Dancho (Business Science)

11,799 views • 1 year ago

Gemini 3.5 flash + Gemini managed agents api just audited a real megatron-lm ci failure inside Eigent. root cause in minutes! watch the handoff: coordinator agent plans the audit, developer agent loads the ml-failure-audit skill and gathers the evidence, then gemini agent steps in as a remote sub-agent for the heavy reasoning. gemini managed agents api and gemini 3.5 flash now live on our open-source cowork Eigent! Google AI Developers Google AI Studio

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Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

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Spenser Skates

32,315 views • 8 months ago

Google's best model is actually hidden Gemini 2.5 Pro with Web Grounding is incredible and only available in AI Studio You get free access to the most powerful model with real-time data: - Access AI Studio - Select Gemini 2.5 Pro Preview - Activate Grounding with Search Gemini will search the data, think, then give you the answers with the sources.

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For me, our Analyst agent in Microsoft 365 Copilot is like having a skilled data analyst on hand — all the time. It generates insights and helps you visualize complex data. Here's a quick demo on how it can make sense of marketing campaign data and help you get more done at work.

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Gemini Agent can help tackle all sorts of tasks. Even renting a car. Tell Gemini Agent your budget and it’ll get to work comparing prices, gathering info from your inbox, and booking the car. Now available for Google AI Ultra users in the US on desktop and mobile.

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You asked for it, you got it. Here is the video of the Mana Carvalho punt return for a TD in Saturday night's game against the Cincinnati Bearcats at Rice-Eccles Stadium synced up with the seismic data. University of Utah Utah Athletics Utah Football Raspberry Shake

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Here's Operator from OpenAI building a Due Diligence portal for an M&A transaction of TikTok on Box. The Agent creates a folder structure, the initial set of docs, and then researches on the web for data. In the future, AI Agents just do work for you in the background.

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