Glean的封面图片
Glean

Glean

软件开发

Palo Alto,CA 105,399 位关注者

The Work AI platform connected to all your company data. Find, create, and automate anything.

关于我们

Work AI for all. The Work AI platform connected to all your data. Find, create, and automate anything.

网站
https://glean-it.com/glean
所属行业
软件开发
规模
501-1,000 人
总部
Palo Alto,CA
类型
私人持股
创立
2019

产品

地点

Glean员工

动态

  • 查看Glean的组织主页

    105,399 位关注者

    Glean:GO afternoon keynote announced ?? Join us to hear from these visionary IT leaders on the CIO AI Playbook: ?? Parul Saini, Head of IT at Uber ?? Sandy Venugopal, CIO at CoreWeave ?? Deepa Gopinath, SVP and Deputy CIO at Databricks They’ll share how they’re making AI real in the enterprise: from scaling adoption to spotting the best AI investment areas and gearing up for the era of autonomous agents. Don’t miss out, register for #GleanGO now ?? https://lnkd.in/gV3WeN9d

  • 查看Glean的组织主页

    105,399 位关注者

    POV: Your boss asks a question in Slack. You switch tabs to find an answer, get sidetracked, and leave them on read ?? We've all been there. With Glean in Slack, you can quickly find what you need, get proactive summaries of long threads, bring company knowledge right into the Slack interface, and automate IT and support workflows - so you can work without interruptions. Drop your most-used Slack emoji if you're stoked about this update ?? https://lnkd.in/dZHFtmZG

  • 查看Glean的组织主页

    105,399 位关注者

    Hot take: Not all enterprise AI connectors are built equally. ???? The power of your AI is only as strong as the data it’s connected to. So, if your AI vendor is saying they'll build and/or support connectors...you should ask these 9 questions to make sure they're designed to index data at scale: 1?? Are you indexing data or running a federated fetch? 2?? How do you enforce data source permissions? 3?? How are you protecting sensitive data? 4?? How often is new data updated and made accessible for AI? 5?? Who is responsible for data modeling? 6?? What data are you indexing? 7?? Are you organizing data in a knowledge graph? 8?? Where is the index stored? 9?? How does your connector infrastructure scale? The challenge isn’t just creating connectors, it’s designing them for reliable, scalable access to the right data across the many dozens of business applications in the enterprise. Dive deeper ?? https://lnkd.in/gcaqtSjZ

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  • 查看Glean的组织主页

    105,399 位关注者

    A special shout out to our amazing Gleaners who joined us for our Customer Advisory Day last week - your partnership and insights are so important to us, and we’re grateful for your support.??? Thank you for being an essential part of our community!

    查看Jamie Pierce的档案

    Head of Community at Glean - Work AI for all

    Last Thursday, I spent a jam-packed afternoon with a few of the folks who are truly the lifeblood of Glean—our Gleaners. A huge thanks to each and every one of you for making the trip out so that we could learn, share insights, and level up our AI game together! While we’re all navigating this transformation in slightly different ways, one thing was made clear: the power of community is real. ?? Days like these remind me of why I do what I do—and why now, more than ever, having a network of peers to navigate this journey alongside isn’t just valuable— it’s essential. I’m grateful to be learning alongside such incredible minds. Here’s to unlocking AI’s potential together! ??

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  • 查看Glean的组织主页

    105,399 位关注者

    What happens when you combine Glean APIs with NVIDIA NIM Microservices? ?? You get a powerful AI customer support agent. Building intelligent customer support agents requires both comprehensive knowledge and powerful reasoning capabilities. With our contextual knowledge graph and NVIDIA NIM microservices, your organizations can: ?? Deploy AI solutions that provide precise, context-aware responses while keeping sensitive data secure ??? Choose from a variety of language models through NVIDIA's API catalog and self-host them on their infrastructure ?? Adapt quickly as new models emerge without disrupting existing workflows Get all the info about our collaboration with NVIDIA on our blog > https://lnkd.in/g5gNuyQz

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