Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

You can use ChatGPT in Excel or Google Sheets for data analysis with Numerous AI for things like: • Reformatting phone numbers • Classifying customer review topics • Removing names from support emails • Sentiment analysis of customer reviews Here are some more examples:

Future Stacked

252,580 subscribers

239,336 просмотров • 1 год назад •via X (Twitter)

Юмор Наука и технологии Образование

Anya Rossi• Live Now

Private livecam show

Комментарии: 12

Фото профиля Future Stacked

Future Stacked1 год назад

BREAKING NEWS!!!! ChatGPT now works in Excel and Google Sheets. No need to memorizing formulas & functions. Here’s how to use AI to EXCEL at Excel!

Фото профиля Future Stacked

Future Stacked1 год назад

Numerous is an add-on that can prompt ChatGPT inside Excel or Google Sheets for many tasks such as writing, researching, translating, rewriting, and more. It can help you streamline your work and increase productivity. Here's how it works:

Фото профиля Future Stacked

Future Stacked1 год назад

1. =AI command. You can use the =AI (...) command to run ChatGPT on a lot of things at once. Just drag it down to use ChatGPT multiple times.

Фото профиля Future Stacked

Future Stacked1 год назад

2. =INFER command. You can make things automatic by using the =INFER (...) command in Numerous. Provide a few examples, and ChatGPT will handle the tasks for you. It's really easy.

Фото профиля Future Stacked

Future Stacked1 год назад

3. =WRITE command. You can use this command to make ChatGPT write marketing texts, SEO descriptions, or other business-related stuff.

Фото профиля Future Stacked

Future Stacked1 год назад

Don't hesitate! Try this amazing tool today!

Фото профиля Future Stacked

Future Stacked1 год назад

Get the latest AI and Tech updates in your inbox for FREE. Join our Tech and AI community of 15,000+ readers:

Фото профиля Future Stacked

Future Stacked1 год назад

If you enjoyed this thread: Follow and turn on notification for @FutureStacked for more valuable contents like this. Pease don’t forget to engage with the first post by bookmarking, liking, commenting, and reposting.

Фото профиля Future Stacked

Future Stacked1 год назад

Vibe coding just went next level

Фото профиля IDI Consulting

IDI Consulting1 год назад

Turn data into actionable insights with IDI Consulting’s Analytics services. We help you unlock the power of your data to drive smarter decisions and achieve better outcomes. Contact us today to get started.

Фото профиля Manish

Manish1 год назад

Can chat gpt create interactive dashboards in Excel using pivot or slicers and other themes?

Фото профиля Marcel • ᴗ •

Marcel • ᴗ •1 год назад

That's not ChatGPT, that's Gemini!

Похожие видео

ChatGPT is now available as an add-on in Excel and Google Sheets, with support for data analysis, formula writing, spreadsheet updates, and step-by-step explanations. Powered by GPT-5.5.

ChatGPT is now available as an add-on in Excel and Google Sheets, with support for data analysis, formula writing, spreadsheet updates, and step-by-step explanations. Powered by GPT-5.5.

Byte

21,992 просмотров • 1 месяц назад

How to Prepare Data for Analysis in Excel.

How to Prepare Data for Analysis in Excel.

Tips Excel

53,947 просмотров • 1 месяц назад

Numerous is an add-on that can prompt ChatGPT inside Excel or Google Sheets for many tasks such as writing, researching, translating, rewriting, and more. It can help you streamline your work and increase productivity. Here's how it works:

Numerous is an add-on that can prompt ChatGPT inside Excel or Google Sheets for many tasks such as writing, researching, translating, rewriting, and more. It can help you streamline your work and increase productivity. Here's how it works:

Future Stacked

310,194 просмотров • 1 год назад

Walmart updated their new AI call system for when customer call in It now says, “This call and your voice may be recorded for quality or other business purposes” You won’t believe what their “other business serves” are… It is not limited to AI training, voice cloning datasets, emotion tracking, behavioral analysis, customer profiling, speech recognition systems So when you call into Walmart they are literally recording. then storing your voice. It can possibly be used for things like “voice cloning” and more This is horrifying and it’s really happening Here are some of the more controversial uses: - behavioral profiling - emotion detection - cross-linking voice data with customer profiles - long-term biometric storage - AI model training without clear opt-in transparency (You are literally just calling in to talk to customer service) Even worse, modern AI systems can extract a lot more information from speech than people realize: - accent - emotional state - stress - probable age range - speaking habits - identity likelihood - purchase intent - deception indicators (though these systems are often unreliable) All this and voice cloning…. Some states have started to pass legislation to stop this but it’s still in the early stages so companies are getting away with it

Walmart updated their new AI call system for when customer call in It now says, “This call and your voice may be recorded for quality or other business purposes” You won’t believe what their “other business serves” are… It is not limited to AI training, voice cloning datasets, emotion tracking, behavioral analysis, customer profiling, speech recognition systems So when you call into Walmart they are literally recording. then storing your voice. It can possibly be used for things like “voice cloning” and more This is horrifying and it’s really happening Here are some of the more controversial uses: - behavioral profiling - emotion detection - cross-linking voice data with customer profiles - long-term biometric storage - AI model training without clear opt-in transparency (You are literally just calling in to talk to customer service) Even worse, modern AI systems can extract a lot more information from speech than people realize: - accent - emotional state - stress - probable age range - speaking habits - identity likelihood - purchase intent - deception indicators (though these systems are often unreliable) All this and voice cloning…. Some states have started to pass legislation to stop this but it’s still in the early stages so companies are getting away with it

Wall Street Apes

113,044 просмотров • 28 дней назад

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

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 • 9 месяцев назад

Presenting my first project for the month of October: A Customer Sentiment Feedback Analysis using Microsoft Excel I eventually learnt how to highlight the highest value on a bar/column chart and I couldn't wait to apply it.

Presenting my first project for the month of October: A Customer Sentiment Feedback Analysis using Microsoft Excel I eventually learnt how to highlight the highest value on a bar/column chart and I couldn't wait to apply it.

Abdulsamad

18,104 просмотров • 8 месяцев назад

With Gemini 3 in Search, you can now create interactive tools and simulations to visualize complex topics. It’s been really great to see the creative ways people are using it for things like seeing how photosynthesis works or how a vinyl record produces sound. Here are some of my favorite examples of what Gemini 3 in AI Mode can do:

With Gemini 3 in Search, you can now create interactive tools and simulations to visualize complex topics. It’s been really great to see the creative ways people are using it for things like seeing how photosynthesis works or how a vinyl record produces sound. Here are some of my favorite examples of what Gemini 3 in AI Mode can do:

Rajan Patel

26,298 просмотров • 6 месяцев назад

Microsoft 365 Copilot in Excel with Python, now in preview, allows you to: ➡️ Perform advanced data analysis ➡️ Create sophisticated visualizations Unlock the power of Python with Copilot. #AI #Excel

Microsoft 365 Copilot in Excel with Python, now in preview, allows you to: ➡️ Perform advanced data analysis ➡️ Create sophisticated visualizations Unlock the power of Python with Copilot. #AI #Excel

Microsoft 365

100,591 просмотров • 1 год назад

Introducing - your AI powered Data Scientist - connect a data source (Google Sheets, Excel, Postgres Database) - analyze and transform data - generate insights - create visualizations follow for more updates

Introducing - your AI powered Data Scientist - connect a data source (Google Sheets, Excel, Postgres Database) - analyze and transform data - generate insights - create visualizations follow for more updates

rahul

324,386 просмотров • 2 лет назад

PhD Students – Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs for data analysis. 5. AnswerThis will generate variety of graphs for you. 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE. AnswerThis link:

PhD Students – Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs for data analysis. 5. AnswerThis will generate variety of graphs for you. 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE. AnswerThis link:

Faheem Ullah

205,458 просмотров • 3 месяцев назад

You can now ask Gemini to create Docs, Sheets, Slides, PDFs, and more directly in your chat. No more copying, pasting, or reformatting, just prompt and download. Available globally for all Google Gemini users.

You can now ask Gemini to create Docs, Sheets, Slides, PDFs, and more directly in your chat. No more copying, pasting, or reformatting, just prompt and download. Available globally for all Google Gemini users.

Sundar Pichai

1,977,105 просмотров • 1 месяц назад

Starting today, deploy two apps from Google AI Studio to Cloud Run without the need for a credit card or a Google Cloud account. Your apps can authenticate users with Firebase, store data in Firestore, use Gmail, Calendar, Docs, Sheets, Tasks...

Starting today, deploy two apps from Google AI Studio to Cloud Run without the need for a credit card or a Google Cloud account. Your apps can authenticate users with Firebase, store data in Firestore, use Gmail, Calendar, Docs, Sheets, Tasks...

Steren

64,059 просмотров • 29 дней назад

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to and log in 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. E.g., generate graphs for exploratory data analysis. 5. Liner will generate a variety of graphs for you. 6. It also generates an insightful data analysis report. ✦ You can edit the report. For example, you can: ✦ Insert citations in the report ✦ Make changes to the text ✦ Add/remove any graphs After making changes, you can download the report. Try Liner today. It’s FREE. Liner link:

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to and log in 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. E.g., generate graphs for exploratory data analysis. 5. Liner will generate a variety of graphs for you. 6. It also generates an insightful data analysis report. ✦ You can edit the report. For example, you can: ✦ Insert citations in the report ✦ Make changes to the text ✦ Add/remove any graphs After making changes, you can download the report. Try Liner today. It’s FREE. Liner link:

Faheem Ullah

11,898 просмотров • 2 месяцев назад

Freya (Freya AI) provides human-like, secure Voice AI agents for customer support & sales in financial services. They cut costs by 50% and improve the customer experience with instant 24/7 support that gets things done for customers. Congrats on the launch, Tunga Bayrak and Tomas Nepala!

Freya (Freya AI) provides human-like, secure Voice AI agents for customer support & sales in financial services. They cut costs by 50% and improve the customer experience with instant 24/7 support that gets things done for customers. Congrats on the launch, Tunga Bayrak and Tomas Nepala!

Y Combinator

20,875 просмотров • 10 месяцев назад

You requested it, now it’s here - introducing Proton Sheets! The privacy-first alternative to Excel and Google Sheets. Spreadsheets form the framework of modern businesses, and with Proton Sheets, you can ensure your data is private and secure. 1/4

You requested it, now it’s here - introducing Proton Sheets! The privacy-first alternative to Excel and Google Sheets. Spreadsheets form the framework of modern businesses, and with Proton Sheets, you can ensure your data is private and secure. 1/4

Proton Drive

442,068 просмотров • 6 месяцев назад

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs from data. 5. AnswerThis will generate variety of graphs 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE.

Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs from data. 5. AnswerThis will generate variety of graphs 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE.

Faheem Ullah

26,428 просмотров • 5 месяцев назад

Big step forward for root cause analysis in real-world applications! There’s a new method that will help identify the causes of a problem or event. It uses causal discovery, boosting trees together with TDA. This is crucial to enable root cause analysis in tasks like the following: • Fraud detection • Drug discovery • Customer behavior analysis • Energy and sustainability • Financial analysis and risk management • Failure analysis in engineering systems Topological data analysis (TDA), on the other hand, studies the topological properties of data sets. You can use TDA for clustering, classification, and anomaly detection. The team DataRefiner developed a new approach to integrating causal discovery with TDA segmentation, and they are getting the best results from anything in the market right now. For the first time, there's a tool where users can choose clusters and get a focused causal dependency graph. They use boosting trees to estimate causal effects in complex systems. They complement this approach with TDA by offering insights into potential causal pathways. With TDA, users can visualize and understand the relationship between variables. Most open-source systems struggle with categorical parameters or values with different scales. This new approach doesn’t have those problems. Look at the attached video to understand what you can do with this. Here is a link to a post with all of the details. It contains three detailed examples that will drive the idea home: Thanks to DataRefiner for sponsoring this post.

Big step forward for root cause analysis in real-world applications! There’s a new method that will help identify the causes of a problem or event. It uses causal discovery, boosting trees together with TDA. This is crucial to enable root cause analysis in tasks like the following: • Fraud detection • Drug discovery • Customer behavior analysis • Energy and sustainability • Financial analysis and risk management • Failure analysis in engineering systems Topological data analysis (TDA), on the other hand, studies the topological properties of data sets. You can use TDA for clustering, classification, and anomaly detection. The team DataRefiner developed a new approach to integrating causal discovery with TDA segmentation, and they are getting the best results from anything in the market right now. For the first time, there's a tool where users can choose clusters and get a focused causal dependency graph. They use boosting trees to estimate causal effects in complex systems. They complement this approach with TDA by offering insights into potential causal pathways. With TDA, users can visualize and understand the relationship between variables. Most open-source systems struggle with categorical parameters or values with different scales. This new approach doesn’t have those problems. Look at the attached video to understand what you can do with this. Here is a link to a post with all of the details. It contains three detailed examples that will drive the idea home: Thanks to DataRefiner for sponsoring this post.

Santiago

234,763 просмотров • 2 лет назад