正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Now everyone can put data to work. We’re introducing a new Data agent in ChatGPT Work so you can turn your company’s data into answers, interactive dashboards, and action—just by asking. Just add the Data Plugin in ChatGPT Work, connect to the data sources and context you already use,... show more

ChatGPT

700,149 subscribers

1,791,981 次观看 • 15 小时前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.

ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.

Aaron Levie

57,745 次观看 • 1 年前

Today, we’re bringing ChatGPT closer to the systems, information, and workflows healthcare teams already rely on. ♥️ We’re introducing a new EHR integration to connect supported Epic environments to ChatGPT and a plugin connecting to nine additional industry data sources.

Today, we’re bringing ChatGPT closer to the systems, information, and workflows healthcare teams already rely on. ♥️ We’re introducing a new EHR integration to connect supported Epic environments to ChatGPT and a plugin connecting to nine additional industry data sources.

Karan Singhal

981,575 次观看 • 9 天前

ChatGPT is now available as an add-on in Excel and Google Sheets. It can help analyze messy data, write formulas, update spreadsheets, and explain what it’s doing along the way—without leaving your spreadsheet. Powered by GPT-5.5.

ChatGPT is now available as an add-on in Excel and Google Sheets. It can help analyze messy data, write formulas, update spreadsheets, and explain what it’s doing along the way—without leaving your spreadsheet. Powered by GPT-5.5.

ChatGPT

971,470 次观看 • 4 个月前

AI-powered Dashboards taken to the next level. Built using OpenAI and your favorite new LLMs🔥 Connect your APIs/data sources and create dynamic dashboards in *seconds* Demo with blockchain data below👇🏻 Beta:

AI-powered Dashboards taken to the next level. Built using OpenAI and your favorite new LLMs🔥 Connect your APIs/data sources and create dynamic dashboards in seconds Demo with blockchain data below👇🏻 Beta:

Aryan Sharma

66,382 次观看 • 3 年前

Let’s show you what ChatGPT agent can do 🧵 Need Monday metrics? ChatGPT agent can fetch the data, generate the spreadsheet, and schedule it to run again—automatically.

Let’s show you what ChatGPT agent can do 🧵 Need Monday metrics? ChatGPT agent can fetch the data, generate the spreadsheet, and schedule it to run again—automatically.

OpenAI

521,244 次观看 • 1 年前

A look at computer use and the built-in browser in the new ChatGPT app 👀 dominik kundel walks through how ChatGPT can work with apps on your computer and browse the web to research, navigate websites, and complete tasks with you.

A look at computer use and the built-in browser in the new ChatGPT app 👀 dominik kundel walks through how ChatGPT can work with apps on your computer and browse the web to research, navigate websites, and complete tasks with you.

ChatGPT

125,422 次观看 • 1 个月前

🥁 Sync any data source. Whatever context you need can now live in Notion. Our new database sync (powered by Workers) runs on our infrastructure and lets you sync any data source with an API into a Notion database. Sync customer data from Salesforce to build detailed reports. Or connect Strava and Spotify data to curate the perfect running playlist.

🥁 Sync any data source. Whatever context you need can now live in Notion. Our new database sync (powered by Workers) runs on our infrastructure and lets you sync any data source with an API into a Notion database. Sync customer data from Salesforce to build detailed reports. Or connect Strava and Spotify data to curate the perfect running playlist.

Notion

88,089 次观看 • 4 个月前

Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6. It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It’s a whole new way to get work done.

Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6. It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It’s a whole new way to get work done.

OpenAI

16,084,842 次观看 • 2 个月前

Get more done when you connect ChatGPT to your email, calendar, and other tools. corey.ching shows you the latest with plugins in ChatGPT Work.

Get more done when you connect ChatGPT to your email, calendar, and other tools. corey.ching shows you the latest with plugins in ChatGPT Work.

ChatGPT

113,769 次观看 • 1 个月前

Codex and ChatGPT can now understand the context of your recent work. Opt into Computer History to give ChatGPT richer context, so it can pick up where you left off, understand patterns in your work, and suggest skills or scheduled tasks for work you repeat.

Codex and ChatGPT can now understand the context of your recent work. Opt into Computer History to give ChatGPT richer context, so it can pick up where you left off, understand patterns in your work, and suggest skills or scheduled tasks for work you repeat.

OpenAI Developers

500,071 次观看 • 28 天前

Introducing: Data API The latest step in our data-first roadmap: programmatic access to Blockworks Data, anywhere you need it. No more CSV babysitting. No more unreliable sources. Just clean, validated onchain data straight into your stack. Join the waitlist 👇

Introducing: Data API The latest step in our data-first roadmap: programmatic access to Blockworks Data, anywhere you need it. No more CSV babysitting. No more unreliable sources. Just clean, validated onchain data straight into your stack. Join the waitlist 👇

Blockworks Research

60,114 次观看 • 1 年前

Work with just your voice, hands free. See—and hear— ChatGPT Voice in action, now on macOS and Windows.

Work with just your voice, hands free. See—and hear— ChatGPT Voice in action, now on macOS and Windows.

ChatGPT

313,044 次观看 • 1 个月前

Rashid Latif “The people in the PCB don’t understand data. They brought in someone from the Punjab government to work on it and even added him to the selection committee. A civil engineer also worked as a data analyst. We’re just using the word ‘data’ as a tool and selling it.”

Rashid Latif “The people in the PCB don’t understand data. They brought in someone from the Punjab government to work on it and even added him to the selection committee. A civil engineer also worked as a data analyst. We’re just using the word ‘data’ as a tool and selling it.”

Pavilion Post

11,826 次观看 • 2 个月前

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?

Faheem Ullah

21,390 次观看 • 10 个月前

🚨 ChatGPT can analyze money. But it doesn't know where YOUR money is going. So I connected Era Context to ChatGPT and asked one question: “Give me a full financial snapshot based on my current data.” Instead of generic budgeting advice, ChatGPT could work with my actual transaction data and analyze my financial activity. That was the interesting part. The AI wasn't suddenly smarter. It finally had the context to answer a question about my money. era

🚨 ChatGPT can analyze money. But it doesn't know where YOUR money is going. So I connected Era Context to ChatGPT and asked one question: “Give me a full financial snapshot based on my current data.” Instead of generic budgeting advice, ChatGPT could work with my actual transaction data and analyze my financial activity. That was the interesting part. The AI wasn't suddenly smarter. It finally had the context to answer a question about my money. era

Sumon Kabir

33,229 次观看 • 18 天前

It’s wild watching AI Agents work with software. Here’s ChatGPT connected to Box running a deep research task on market analysis documents. The future is just giving AI Agents the data and systems to comb through and having them work for you in the background.

It’s wild watching AI Agents work with software. Here’s ChatGPT connected to Box running a deep research task on market analysis documents. The future is just giving AI Agents the data and systems to comb through and having them work for you in the background.

Aaron Levie

236,034 次观看 • 1 年前

Run your small business with the help of Gemini 3 Flash and turn hours of work into minutes. Just upload your customer feedback and it can get to work analyzing the data, drafting the launch email, and even coding a branded landing page.

Run your small business with the help of Gemini 3 Flash and turn hours of work into minutes. Just upload your customer feedback and it can get to work analyzing the data, drafting the launch email, and even coding a branded landing page.

Google Gemini

1,630,553 次观看 • 8 个月前

By 2030, the data science field is projected to grow by 30% -- this is the tool I’d add to my learning path if I were re-skilling into data science: 𝐩𝐢𝐩 𝐢𝐧𝐬𝐭𝐚𝐥𝐥 𝐦𝐢𝐭𝐨-𝐚𝐢 It’s an open-source toolkit that adds AI to your Jupyter Notebooks, and it’s surprisingly helpful for learning by doing. Try now It lets you: • Use natural language to generate full data workflows • Upload an Excel file and watch it convert to clean Python code • Work with top models (ChatGPT, Claude, Gemini) right inside your notebook with no setup One thing I really like about Mito AI: it shows you exactly what it’s doing. (Which is super helpful for both beginners and debugging.) -The agent explains its assumptions - Every result links back to editable, transparent code That makes it a great companion if you're: • Transitioning from Excel • Exploring data automation or dashboards • Or just brushing up on how real data science pipelines work

By 2030, the data science field is projected to grow by 30% -- this is the tool I’d add to my learning path if I were re-skilling into data science: 𝐩𝐢𝐩 𝐢𝐧𝐬𝐭𝐚𝐥𝐥 𝐦𝐢𝐭𝐨-𝐚𝐢 It’s an open-source toolkit that adds AI to your Jupyter Notebooks, and it’s surprisingly helpful for learning by doing. Try now It lets you: • Use natural language to generate full data workflows • Upload an Excel file and watch it convert to clean Python code • Work with top models (ChatGPT, Claude, Gemini) right inside your notebook with no setup One thing I really like about Mito AI: it shows you exactly what it’s doing. (Which is super helpful for both beginners and debugging.) -The agent explains its assumptions - Every result links back to editable, transparent code That makes it a great companion if you're: • Transitioning from Excel • Exploring data automation or dashboards • Or just brushing up on how real data science pipelines work

Python Coding

107,495 次观看 • 11 个月前