Загрузка видео...

Не удалось загрузить видео

На главную

INCREDIBLE!!! Gemini did 6 hours of manual data analysis work in just 2 mins. Gemini in a Colab notebook now lets you plan, analyze, and visualize your data. I used a dataset of 100k rows and didn't write or execute a single line of code. Completely hands-off!

300,110 просмотров • 1 год назад •via X (Twitter)

Комментарии: 11

Фото профиля Akshay 🚀
Akshay 🚀1 год назад

This looks amazing, thanks for sharing Avi!

Фото профиля Avi Chawla
Avi Chawla1 год назад

Happy to help. It is a big time-saver indeed!

Фото профиля Lautaro Vergara 🇺🇦
Lautaro Vergara 🇺🇦1 год назад

Good! And your brain lost 100 million neuronal connections ;)

Фото профиля Ikario
Ikario1 год назад

Nice but how much (or not) accurates are the results ?

Фото профиля HUDI
HUDI2 лет назад

🚨 Data brokers make billions off what's YOURS: your data. 🏴‍☠️ It's time for a data industry revolution! 🐸Join us to build the biggest data broker in history - where CONTROL and VALUE return to your hands💰 🦾Create your Data Wallet with #HUDI and start reclaiming your data 💡 Together, we can change the game. 🦾🐸🏴‍☠️ #TakeBackYourData #HumanDataIncome #HUDI #BNB #PancakeSwap

Фото профиля Anson Hwang
Anson Hwang1 год назад

Can also do the same in @ChatsheetAI with no code!

Фото профиля Alexander
Alexander1 год назад

@Gianggzj

Фото профиля Renat
Renat1 год назад

Opens up data analysis to folks who aren't code wizards.

Фото профиля Davo Corbulo
Davo Corbulo1 год назад

Wow at the level of a second grader! Amazing

Фото профиля altus 🥷
altus 🥷1 год назад

Hey what’s the software you’re using to capture this? I see this format all over X but can’t seem to find what it is

Фото профиля Sir Thomas Hobbes
Sir Thomas Hobbes1 год назад

just when my gemini trial ended :( collecting these subscriptions like pokemon, it seems. Currently on ChatGPT, Cursor, X premium+(locked in at 20 bucks though). Considering dropping ChatGPT for Gemini

Похожие видео

Data teams spend weeks on simple requests. (This AI answers them in minutes.) Most data analysis is repetitive manual tasks. Data teams spend more time on setup than actual analysis. The workflow usually looks like this: → Run some exploratory data analysis in a local Jupyter notebook or environment → Pull data from multiple disconnected sources → Write code from scratch for every analysis → Export static charts that stakeholders can't explore (or wrestle with legacy BI to create a dashboard) → Manually send updates via email or Slack when data changes → Start over for each new request Most teams accept this as "how data analysis works." While business decisions wait for insights. That's where Fabi changes the entire approach. It's a powerful, AI-native platform built for teams that want to boost productivity and supercharge their data workflows. Instead of working on separate tools and manual processes, you collaborate on analysis that automatically delivers insights where teams work. Here's what makes Fabi different: AI-Native Analysis Environment ↳ SQL and Python work together with AI assistance that handles coding and debugging automatically. Smart Automation Workflows ↳ Automatically send AI-powered reports and summaries right where business works in Slack, email, and spreadsheets. Universal Data Integration ↳ Analyze data from files, Google Sheets, Airtable, plus your data warehouse and databases in one place. Collaborative Data Apps ↳ Create interactive dashboards that stakeholders can explore and ask follow-up questions directly. What you can do with Fabi that legacy BI can't: ➟ Send AI-generated insights directly to Slack channels ➟ Automatically email data summaries to stakeholders ➟ Analyze uploaded files without complex ETL processes ➟ Collaborate on analysis like Google Docs for data ➟ Build workflows that push insights to spreadsheets Perfect for teams that want to move beyond the constraints of legacy and increase their impact. Teams using Fabi see immediate results: ✓ Insights delivered in minutes instead of days ✓ Reduced context switching between tools ✓ Stakeholders explore data independently ✓ Workflows automated to save hours of manual work From analysis to automated delivery - all in one AI-native environment. 📌 Try Fabi today: 👉 Follow Fabi.ai and marc for Fabi updates. 🔄 Repost to help other teams streamline data analysis #DataAnalysis #ModernBI #DataOps #InteractiveDashboards #FabiPartnership #SponsoredByFabi

Andrew Bolis

36,504 просмотров • 10 месяцев назад