Loading video...

Video Failed to Load

Go Home

Microsoft has launched a powerful new data analysis tool! Introducing Data Formulator, a 100% open-source LLM-powered, no-code tool that transforms data in a snap and creates stunning visualizations. Key features include: 🤖 AI-powered data transformation 🖱️ Interactive drag-and-drop UI for visualizations 💬 Seamless blend of UI & natural language...

280,385 views • 1 year ago •via X (Twitter)

16 Comments

Akshay 🚀's profile picture
Akshay 🚀1 year ago

GitHub repo: ____ Interested in ML/AI Engineering? Sign up for our newsletter for in-depth lessons and get a FREE eBook with 150+ core DS/ML lessons:

HUDI's profile picture
HUDI2 years ago

🚨 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

Avi Chawla's profile picture
Avi Chawla1 year ago

great tool for data analysis!

James A's profile picture
James A1 year ago

Maybe missing something, but has been doing that for a while now

Abhivendra Singh's profile picture
Abhivendra Singh1 year ago

Microsoft's Data Formulator represents a leap in democratizing data analysis. Open-source and no-code solutions empower everyone to harness the power of AI for insights. At Inforida, we see this as a stepping stone towards transforming education.

BΛM's profile picture
BΛM1 year ago

A microsoft app being demonstrated on a Mac... interesting

Akne Empada's profile picture
Akne Empada1 year ago

Isn't it better to just use Power BI instead?

Shresth Shukla's profile picture
Shresth Shukla1 year ago

sounds interesting

Julia0812's profile picture
Julia08121 year ago

How would you compare this to Power BI? Can it replace Power BI? Is it as powerful as Power BI?

David Hamilton's profile picture
David Hamilton1 year ago

What about using this with local r1?

Saswata Sinha's profile picture
Saswata Sinha1 year ago

Pretty dope!

Ramses Alexander's profile picture
Ramses Alexander1 year ago

@DeepnoteHQ

Conrad Lotz's profile picture
Conrad Lotz1 year ago

This looks incredible.

SargeJoseph (Fan)'s profile picture
SargeJoseph (Fan)1 year ago

1'11 try 17 r19h7 n0w, 7h4nk y0u!!

Ric Lewis's profile picture
Ric Lewis1 year ago

@Licantrop0

PlumpJack's profile picture
PlumpJack1 year ago

Tableau did this like 15 years ago….

Related Videos

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 views • 8 months ago