Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

We just cracked document editing without drawing boxes. We’re excited to launch Edit – a new endpoint that fills out any document automatically. Edit revolutionizes document automation by automatically finding all blank fields, tables, and checkboxes in forms, then intelligently filling them with your data. To try it, sign...

reductoai's profile picture

Reducto

12,353 subscribers

260,110 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & TechnologieNachrichten & Politik
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Cursor for contracts is here. Announcing Spellbook's new AI document editor. Doc editing for lawyers is disjointed: you can edit with AI in chat, but then need to "Open in Word" to make manual tweaks without breaking formatting. Alternatively you can use a Word add-in like Spellbook's, but this only allows you to work on one document at a time. For a long time, Mitch and I talked about getting to a real "Cursor for Contracts" experience. With a lot of blood and sweat, we're finally there. Spellbook's new editor combines the best of AI editing and manual editing in one place—while fully supporting rich Word formatting that lawyers rely on. Ask AI to make edits across an entire document set, then review, accept and tweak all in one window. This sounds like a small thing, but the reduction in friction has totally changed my document editing workflow.
1:11

Cursor for contracts is here. Announcing Spellbook's new AI document editor. Doc editing for lawyers is disjointed: you can edit with AI in chat, but then need to "Open in Word" to make manual tweaks without breaking formatting. Alternatively you can use a Word add-in like Spellbook's, but this only allows you to work on one document at a time. For a long time, Mitch and I talked about getting to a real "Cursor for Contracts" experience. With a lot of blood and sweat, we're finally there. Spellbook's new editor combines the best of AI editing and manual editing in one place—while fully supporting rich Word formatting that lawyers rely on. Ask AI to make edits across an entire document set, then review, accept and tweak all in one window. This sounds like a small thing, but the reduction in friction has totally changed my document editing workflow.

Scott Stevenson

57,123 Aufrufe • vor 1 Monat

As frontier models (e.g. Fable 5) continue to push the task horizon of knowledge work automation, it becomes ever more important for humans to be able to audit decisions back to the source context. It is extremely easy for agents to cite an entire document or document page, but much harder for them to trace back to the exact numbers/words/figures within a page. Today we've launched granular bounding boxes within LlamaParse, which allows you to obtain visual citations of every single word in the document. This allows human users to audit exact words and figures - not just general document regions or entire pages! Come check it out:
0:51

As frontier models (e.g. Fable 5) continue to push the task horizon of knowledge work automation, it becomes ever more important for humans to be able to audit decisions back to the source context. It is extremely easy for agents to cite an entire document or document page, but much harder for them to trace back to the exact numbers/words/figures within a page. Today we've launched granular bounding boxes within LlamaParse, which allows you to obtain visual citations of every single word in the document. This allows human users to audit exact words and figures - not just general document regions or entire pages! Come check it out:

Jerry Liu

23,491 Aufrufe • vor 3 Monaten

LiteParse Samples 📄🧑‍🏫 LiteParse is our free and fast document parser that can parse text with bounding boxes from any document. I’ve created a new repository that contains some demos on how you can make use of its outputs! ✅ Comparison against PyPDF and PyMuPDF ✅ Visual Citations: search for any keyword and see joined bounding boxes pop up in the source images It should be a default tool to help AI agents OCR any document type (supports PDF, Word, Powerpoint + dozens of other formats), before heavier-weight VLM-based document parsing solutions (like our own LlamaParse). LiteParse Samples repo: LiteParse:
0:33

LiteParse Samples 📄🧑‍🏫 LiteParse is our free and fast document parser that can parse text with bounding boxes from any document. I’ve created a new repository that contains some demos on how you can make use of its outputs! ✅ Comparison against PyPDF and PyMuPDF ✅ Visual Citations: search for any keyword and see joined bounding boxes pop up in the source images It should be a default tool to help AI agents OCR any document type (supports PDF, Word, Powerpoint + dozens of other formats), before heavier-weight VLM-based document parsing solutions (like our own LlamaParse). LiteParse Samples repo: LiteParse:

Jerry Liu

13,196 Aufrufe • vor 5 Monaten

A ‘VERY SUCCESSFUL’ UAP LURING OPERATION AT WHITE SANDS? Rep. Burlison: The USG “set up a perfect case scenario that would cause UAP to come in and then to capture them or to try to document them or record them. And it was very successful.” “The whole conversation changed.”
1:07

A ‘VERY SUCCESSFUL’ UAP LURING OPERATION AT WHITE SANDS? Rep. Burlison: The USG “set up a perfect case scenario that would cause UAP to come in and then to capture them or to try to document them or record them. And it was very successful.” “The whole conversation changed.”

Marik vR

109,910 Aufrufe • vor 1 Monat

OCR can process characters but it doesn’t understand pixels. OCR has no way to reason about the headers, totals, or checkboxes found in tables, invoices, or forms. In our course with LandingAI, "Document AI: From OCR to Agentic Doc Extraction," we build agents to address these failure modes by breaking documents into pieces, applying the right tools, and mapping information to expected formats. Learn more and enroll today:
1:16

OCR can process characters but it doesn’t understand pixels. OCR has no way to reason about the headers, totals, or checkboxes found in tables, invoices, or forms. In our course with LandingAI, "Document AI: From OCR to Agentic Doc Extraction," we build agents to address these failure modes by breaking documents into pieces, applying the right tools, and mapping information to expected formats. Learn more and enroll today:

DeepLearning.AI

21,554 Aufrufe • vor 7 Monaten

We built an AI agent that lets you vibe-code document extraction - high accuracy and citations over the most complex documents. Our latest release lets you upload documents as context. All you then have to do is describe what you want extracted in natural language. 💡 Our agent will then read the document with file tools to infer the right schema, validation rules, and other pre/postprocessing logic. ✅ It will give you back a workflow that can extract over thousands/millions of documents at scale. You can still of course review and edit every output before approving. Stop handling paperwork manually; just upload files, describe your task, and let our agent handle the rest. Our vision for LlamaAgents is to provide the most advanced and easy-to-use way for you to orchestrate document work. Walkthrough: Check it out: If you’re interested in reducing the operational burden of document extraction (invoices, claims, onboarding forms), come talk to us!
0:58

We built an AI agent that lets you vibe-code document extraction - high accuracy and citations over the most complex documents. Our latest release lets you upload documents as context. All you then have to do is describe what you want extracted in natural language. 💡 Our agent will then read the document with file tools to infer the right schema, validation rules, and other pre/postprocessing logic. ✅ It will give you back a workflow that can extract over thousands/millions of documents at scale. You can still of course review and edit every output before approving. Stop handling paperwork manually; just upload files, describe your task, and let our agent handle the rest. Our vision for LlamaAgents is to provide the most advanced and easy-to-use way for you to orchestrate document work. Walkthrough: Check it out: If you’re interested in reducing the operational burden of document extraction (invoices, claims, onboarding forms), come talk to us!

Jerry Liu

20,857 Aufrufe • vor 6 Monaten

BREAKING🚨: Video editing just got as simple as editing a text document. Aleph 2.0 is live on Runway's new Edit Studio right now! Here is my quick tutorial showing 3 of its most powerful post-production strengths: Infinite Variations: Swap product colors, change seasons, or update styles—all from the exact same video clip. Zero Wasted Renders: Preview your edit instantly as a static image first to lock in the look before you commit to generating the full video. Multi-Shot Power: Apply an edit once, and watch it propagate automatically across cuts and scene changes without resetting. Stop regenerating from scratch. Grab your own camera roll footage and try it today. 🔗 Try it: > 🎟️ Use code ALEPH2 at checkout for 22% off 2 months of Runway Pro (valid through May 31, 2026) #MadeWithRunway
0:56

BREAKING🚨: Video editing just got as simple as editing a text document. Aleph 2.0 is live on Runway's new Edit Studio right now! Here is my quick tutorial showing 3 of its most powerful post-production strengths: Infinite Variations: Swap product colors, change seasons, or update styles—all from the exact same video clip. Zero Wasted Renders: Preview your edit instantly as a static image first to lock in the look before you commit to generating the full video. Multi-Shot Power: Apply an edit once, and watch it propagate automatically across cuts and scene changes without resetting. Stop regenerating from scratch. Grab your own camera roll footage and try it today. 🔗 Try it: > 🎟️ Use code ALEPH2 at checkout for 22% off 2 months of Runway Pro (valid through May 31, 2026) #MadeWithRunway

Arcane Ai

73,066 Aufrufe • vor 3 Monaten

Reducto CLI is the best way for agents to interact with document data in any workflow, and I’m really excited to see the range of use cases that are possible with this. It uses our frontier models for anything from parsing to editing, and can help automate full workflows like building spreadsheets or reports with really ugly cases. Raunak’s demo is a great example of what this unlocks
1:46

Reducto CLI is the best way for agents to interact with document data in any workflow, and I’m really excited to see the range of use cases that are possible with this. It uses our frontier models for anything from parsing to editing, and can help automate full workflows like building spreadsheets or reports with really ugly cases. Raunak’s demo is a great example of what this unlocks

Adit

16,957 Aufrufe • vor 9 Monaten

See Google’s Gemini 2.5 Pro in action with the Box AI API! We put it to the test on complex invoice calculations and analyzing 10-K financial documents. Leverage Gemini 2.5 Pro via the Box AI API for advanced document processing, data extraction, and Q&A in your applications.
4:01

See Google’s Gemini 2.5 Pro in action with the Box AI API! We put it to the test on complex invoice calculations and analyzing 10-K financial documents. Leverage Gemini 2.5 Pro via the Box AI API for advanced document processing, data extraction, and Q&A in your applications.

Box

489,097 Aufrufe • vor 1 Jahr

🌟 Attention Zapier Power Users: We just released a major update to Operator that enables you to search across all fields, tables, apps, and endpoints used in any of your Zaps. ❓ Wondering if a small change a field in one app will break an entire Zapier workflow? With our latest update, you'll have all the answers at your fingertips. No more guessing or manual trackin 🎥 See It in Action! Check out our demo video to see how this update makes updating and changing your automations as easy as building them in the first place. 👉 Ready to Join? If you're as excited as we are, fill out our quick form below and grab a beta spot. We’d love to work with you on building the future of scalable, no-code automation.
5:09

🌟 Attention Zapier Power Users: We just released a major update to Operator that enables you to search across all fields, tables, apps, and endpoints used in any of your Zaps. ❓ Wondering if a small change a field in one app will break an entire Zapier workflow? With our latest update, you'll have all the answers at your fingertips. No more guessing or manual trackin 🎥 See It in Action! Check out our demo video to see how this update makes updating and changing your automations as easy as building them in the first place. 👉 Ready to Join? If you're as excited as we are, fill out our quick form below and grab a beta spot. We’d love to work with you on building the future of scalable, no-code automation.

Philip Lakin

10,255 Aufrufe • vor 2 Jahren

2am, July 2 — and we’re still shipping! We're excited to share our newest innovation: Genspark AI Docs — the world’s first full-agentic AI document creator: Instantly create any document with a single prompt — and freely edit it! Hundreds of designer templates, all free! Supports both Rich Text and Markdown formats! With AI Slides, AI Sheets, and now AI Docs, our classic productivity trio for the AI era is finally complete. We believe that in the AI era, eventually all work can be done with a simple prompt. We call this vibe working! Start vibe working today with Genspark — your all-in-one AI workspace. This is just about 10% of what we have planned. There’s another exciting product on the way — can’t wait to keep building and sharing more with everyone!
1:59

2am, July 2 — and we’re still shipping! We're excited to share our newest innovation: Genspark AI Docs — the world’s first full-agentic AI document creator: Instantly create any document with a single prompt — and freely edit it! Hundreds of designer templates, all free! Supports both Rich Text and Markdown formats! With AI Slides, AI Sheets, and now AI Docs, our classic productivity trio for the AI era is finally complete. We believe that in the AI era, eventually all work can be done with a simple prompt. We call this vibe working! Start vibe working today with Genspark — your all-in-one AI workspace. This is just about 10% of what we have planned. There’s another exciting product on the way — can’t wait to keep building and sharing more with everyone!

Eric Jing

2,497,860 Aufrufe • vor 1 Jahr

We’re excited to officially launch LlamaParse, the first genAI-native document parsing solution. Not only is it better at parsing out images/tables/charts 📊📈 than virtually every other parser, it is now steerable through natural language instructions - output the document in whatever format you desire! It is also the only parsing solution that seamlessly allows you to build accurate RAG over complex documents, free of hallucinations 🔥 We launched it in private preview a few weeks ago and hit 2k users, 1M total PDF pages parsed. And now it’s better than ever. LlamaParse contains the following killer features: ✅ SOTA table/chart extraction ✅ Seamless integration with LlamaIndex 🦙 advanced RAG/agents ✅✨ Natural language Parsing Instructions ✅✨JSON mode and image extraction ✅✨Support for ~10 document types (.pdf, .pptx, .docx, .xml) and more Our pricing is simple: 1k free per day, and additional pages at 0.3c a page, or $3 for 1k pages. If you want advanced document RAG and/or private deployments, come get in touch with us to chat about LlamaCloud. Check out our full blog post here: LlamaParse client repo: Signup at 🦙☁️: Come talk to us:
5:07

We’re excited to officially launch LlamaParse, the first genAI-native document parsing solution. Not only is it better at parsing out images/tables/charts 📊📈 than virtually every other parser, it is now steerable through natural language instructions - output the document in whatever format you desire! It is also the only parsing solution that seamlessly allows you to build accurate RAG over complex documents, free of hallucinations 🔥 We launched it in private preview a few weeks ago and hit 2k users, 1M total PDF pages parsed. And now it’s better than ever. LlamaParse contains the following killer features: ✅ SOTA table/chart extraction ✅ Seamless integration with LlamaIndex 🦙 advanced RAG/agents ✅✨ Natural language Parsing Instructions ✅✨JSON mode and image extraction ✅✨Support for ~10 document types (.pdf, .pptx, .docx, .xml) and more Our pricing is simple: 1k free per day, and additional pages at 0.3c a page, or $3 for 1k pages. If you want advanced document RAG and/or private deployments, come get in touch with us to chat about LlamaCloud. Check out our full blog post here: LlamaParse client repo: Signup at 🦙☁️: Come talk to us:

LlamaIndex 🦙

143,189 Aufrufe • vor 2 Jahren

Parsing a document accurately is one thing. Proving where every value came from is another. When a compliance team reviews an AI extraction, or an auditor needs to sign off on a figure pulled from a financial filing, "it came from this document" isn't enough. They need to see exactly where. The specific cell in the table, the exact line on the page, the precise word the agent used. Most parsers can get you to a paragraph or a table block. That's where the trail ends. Today we're shipping Granular Bounding Boxes in LlamaParse — word, line, and cell level coordinates for every value in your document. The result is a complete, verifiable trail from every extracted value back to its exact source in the document. Built for audit workflows, compliance review, and any pipeline where verification isn't optional. Read the full announcement →
0:51

Parsing a document accurately is one thing. Proving where every value came from is another. When a compliance team reviews an AI extraction, or an auditor needs to sign off on a figure pulled from a financial filing, "it came from this document" isn't enough. They need to see exactly where. The specific cell in the table, the exact line on the page, the precise word the agent used. Most parsers can get you to a paragraph or a table block. That's where the trail ends. Today we're shipping Granular Bounding Boxes in LlamaParse — word, line, and cell level coordinates for every value in your document. The result is a complete, verifiable trail from every extracted value back to its exact source in the document. Built for audit workflows, compliance review, and any pipeline where verification isn't optional. Read the full announcement →

LlamaIndex 🦙

29,090 Aufrufe • vor 3 Monaten

Our default document parsing mode is now able to parse a complex research report with multiple embedded charts on a single page. This is the cheapest document OCR model out there that can turn complex visual documents into LLM-ready markdown. This is our agentic mode in LlamaParse. It starts at ~1c per page; if you’re looking to scale consumption we offer volume discounts. Come check it out! Sign up:
0:40

Our default document parsing mode is now able to parse a complex research report with multiple embedded charts on a single page. This is the cheapest document OCR model out there that can turn complex visual documents into LLM-ready markdown. This is our agentic mode in LlamaParse. It starts at ~1c per page; if you’re looking to scale consumption we offer volume discounts. Come check it out! Sign up:

Jerry Liu

15,479 Aufrufe • vor 7 Monaten

Announcing a significant upgrade to Agentic Document Extraction! LandingAI's new DPT (Document Pre-trained Transformer) accurately extracts even from complex docs. For example, from large, complex tables, which is important for many finance and healthcare applications. And a new SDK makes using it require only 3 simple lines of code. Please see the video for technical details. I hope this unlocks a lot of value from the "dark data" currently stuck in PDF files, and that you'll build something cool with this!
3:25

Announcing a significant upgrade to Agentic Document Extraction! LandingAI's new DPT (Document Pre-trained Transformer) accurately extracts even from complex docs. For example, from large, complex tables, which is important for many finance and healthcare applications. And a new SDK makes using it require only 3 simple lines of code. Please see the video for technical details. I hope this unlocks a lot of value from the "dark data" currently stuck in PDF files, and that you'll build something cool with this!

Andrew Ng

299,624 Aufrufe • vor 11 Monaten

Open-weight MiniMax M3 filled out a US customs form from a driver's license photo For this test we deployed MiniMax M3 Q4 using MLX-VLM on a Mac Studio M3 Ultra 512GB RAM. The model was tasked with reading a scanned document and an ID card photo, then completing a declaration form Output: 736 tokens · Input: 1,847 tokens · Time: ~31s The model analyzed both inputs, streamed its reasoning, and then called three tools: write_field for text fields, mark for Yes/No checkboxes, and sign for the signature and date. It extracted the required information, mapped it to the correct fields and completed the form without any manual input
0:20

Open-weight MiniMax M3 filled out a US customs form from a driver's license photo For this test we deployed MiniMax M3 Q4 using MLX-VLM on a Mac Studio M3 Ultra 512GB RAM. The model was tasked with reading a scanned document and an ID card photo, then completing a declaration form Output: 736 tokens · Input: 1,847 tokens · Time: ~31s The model analyzed both inputs, streamed its reasoning, and then called three tools: write_field for text fields, mark for Yes/No checkboxes, and sign for the signature and date. It extracted the required information, mapped it to the correct fields and completed the form without any manual input

atomic.chat

109,369 Aufrufe • vor 3 Monaten

DEEP STATE TACTICS TO HIDE THE INCRIMINATING EVIDENCE Listen to Tulsi explain "burn bags", "over-classification" use of "hard copies" etc Burn bag is something that you'll find in many offices throughout the intelligence community, throughout these different workspaces in national security. Basically, if I have a document that's highly classified, I read it, I review it, I'm done with it, my copy can then go in the burn bag to make sure that it doesn't end up in the wrong hands, that there's not an unauthorized disclosure of classified information. It's a very different story, however, if you use a burn bag to try to get rid of evidence of which maybe there is only one copy of, and then hide it in a secret room in the FBI. That is a tactic, obviously, that has been used by those deep staters, these bad actors within the intelligence community, to try to get rid of evidence. Another tactic that's often used is over-classifying information. This is what happened with the Steele dossier. This was already widely publicized as a discredited document, but what John Brennan did and James Clapper did as the CIA director and Obama's director of national intelligence, they didn't want anybody to know that they used the Steele dossier as a source for this intelligence assessment that was filled with falsehoods. They published in January 2017, as well as other really, really shoddy intelligence sources that would not be acceptable on any topic, because they were not deemed credible. They wanted to hide all of this from members of Congress, perhaps, who were reading this, and the American people, and President Trump then, President-elect Trump at that time. They over-classified it in a way that there were less than 10 people who could access it. Then they locked up the only hard copy document. This document did not exist on Digis, the document that actually exposed. This was the document that we released. They locked that document up, and the five copies that existed in a safe, and the first time it had been seen, certainly in public, but even by many within the government, was when we released it.
2:41

DEEP STATE TACTICS TO HIDE THE INCRIMINATING EVIDENCE Listen to Tulsi explain "burn bags", "over-classification" use of "hard copies" etc Burn bag is something that you'll find in many offices throughout the intelligence community, throughout these different workspaces in national security. Basically, if I have a document that's highly classified, I read it, I review it, I'm done with it, my copy can then go in the burn bag to make sure that it doesn't end up in the wrong hands, that there's not an unauthorized disclosure of classified information. It's a very different story, however, if you use a burn bag to try to get rid of evidence of which maybe there is only one copy of, and then hide it in a secret room in the FBI. That is a tactic, obviously, that has been used by those deep staters, these bad actors within the intelligence community, to try to get rid of evidence. Another tactic that's often used is over-classifying information. This is what happened with the Steele dossier. This was already widely publicized as a discredited document, but what John Brennan did and James Clapper did as the CIA director and Obama's director of national intelligence, they didn't want anybody to know that they used the Steele dossier as a source for this intelligence assessment that was filled with falsehoods. They published in January 2017, as well as other really, really shoddy intelligence sources that would not be acceptable on any topic, because they were not deemed credible. They wanted to hide all of this from members of Congress, perhaps, who were reading this, and the American people, and President Trump then, President-elect Trump at that time. They over-classified it in a way that there were less than 10 people who could access it. Then they locked up the only hard copy document. This document did not exist on Digis, the document that actually exposed. This was the document that we released. They locked that document up, and the five copies that existed in a safe, and the first time it had been seen, certainly in public, but even by many within the government, was when we released it.

Svetlana Lokhova

18,864 Aufrufe • vor 10 Monaten

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.
1:21

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 Aufrufe • vor 1 Jahr