Glean: Work AI for all.

Glean

10 Sept 202402:32

Summary

TLDRGlean is a work AI platform designed to enhance productivity by deeply understanding company data and context. It connects all company data, builds an Enterprise Knowledge Graph, and uses AI to generate personalized, secure, and referenceable answers. The platform offers advanced prompting capabilities for task automation and workflow enhancement. With Glean, teams can create custom generative apps, and experiences, making AI accessible to everyone for smarter work.

Takeaways

🧠 AI's role is to assist by deeply understanding data and context specific to a user's work.
📈 Glean is an AI platform designed to enhance work productivity by leveraging company data.
🔗 Glean connects securely to a company's data, including content, metadata, permissions, and more.
💡 It constructs an Enterprise Knowledge Graph to understand the company's unique context and jargon.
🔍 Glean uses hybrid search and retrieval technology to provide personalized, secure, and referenceable answers.
🛠️ The platform offers advanced prompting capabilities for automating tasks and workflows.
👨‍💻 Engineers can use Glean to get contextual support for debugging and code deployment.
💼 Sales reps gain insights into customers for faster deal closures with Glean's 360-degree views.
👩‍💻 IT teams can solve issues and automate ticket resolutions using Glean's AI capabilities.
💻 Teams can build custom generative apps and experiences with Glean's no-code and low-code tools.
🔌 Glean is easy to implement with hundreds of connectors and compatibility with various LLMs.

Q & A

What is Glean's role in a company?
-Glean serves as a work AI platform that deeply understands company data and context, helping employees find answers, generate content, and automate work.
How does Glean ensure it provides personalized assistance?
-Glean builds an Enterprise Knowledge Graph that considers content, people, and interactions within the organization, along with an AI model that understands the company's unique jargon.
What types of data does Glean connect to secure its AI capabilities?
-Glean connects to a variety of company data including content, metadata, permissions, activity, and identity data.
What is the purpose of Glean's hybrid search and retrieval technology?
-Glean's hybrid search and retrieval technology is used to retrieve the most relevant information to generate personalized, secure, and permissions-aware answers.
How does Glean ensure the security and privacy of the information it provides?
-Glean provides answers that are secure, private, and permissions-aware, ensuring that sensitive information is handled correctly.
What is the benefit of Glean's referenceable answers?
-Glean's answers are fully referenceable back to source documentation, allowing users to trust the information they receive.
What is the Glean Suite of advanced prompting capabilities?
-The Glean Suite allows users to create, edit, save, share, and discover multi-step prompts that automate everyday tasks and workflows.
How does Glean assist engineers in their work?
-Glean provides engineers with the necessary context to quickly triage and debug errors, enabling them to ship code faster.
What benefits does Glean offer to support agents?
-Glean helps support agents onboard with ease and find answers quickly to resolve cases efficiently.
How does Glean help sales representatives?
-Glean offers sales reps a 360-degree view of their customers, helping them understand their needs better and close deals faster.
What custom applications and experiences can teams build using Glean?
-Teams can build no-code and low-code custom generative apps and experiences using Glean to scale the power of their company's knowledge.
What kind of integration flexibility does Glean offer?
-Glean offers hundreds of connectors and the ability to use whichever LLMs (Large Language Models) are chosen, providing flexibility in implementation.
What is the implementation process like for Glean?
-Implementing Glean is quick, and it provides immediate value without the need for costly professional services.

Outlines

00:00

🤖 AI-Powered Work Assistant

The script introduces an AI platform named 'Glean' that is designed to assist employees by deeply understanding the data and context specific to their work. Glean is described as an AI assistant that can find answers, generate content, and automate tasks. It connects securely to all company data, including content, metadata, permissions, activity, and identity data, to build a unique Enterprise Knowledge Graph. This graph considers content, interactions, and corporate jargon to provide personalized and secure answers. Glean uses hybrid search and retrieval technology to ensure the information is relevant and traceable back to its source. The platform also offers advanced prompting capabilities for creating, editing, saving, sharing, and discovering multi-step prompts to automate everyday tasks. It benefits various roles within a company, from engineers to support agents, sales reps, and IT teams, by providing them with the necessary context and information to perform their jobs more efficiently. Glean also allows teams to build custom generative apps and experiences without coding, and it can be implemented quickly with immediate value, without the need for costly professional services.

Mindmap

Keywords

💡AI assistant

The AI assistant refers to an artificial intelligence system designed to support and automate tasks at work. In the context of the video, this assistant helps users find answers, generate content, and streamline workflows, functioning like an expert who understands the company’s data, conversations, and processes.

💡Enterprise Knowledge Graph

An Enterprise Knowledge Graph is a structured representation of a company’s data, including content, interactions, and people. In this video, the AI builds this graph to understand the relationships between various elements in the organization, enabling more precise and contextual information retrieval.

💡Hybrid search

Hybrid search refers to the integration of different search methodologies, such as keyword-based search and AI-powered search. The video highlights Glean's use of hybrid search to deliver highly relevant and personalized answers by combining content analysis with contextual understanding of the company's data.

💡RAG technology

RAG, or Retrieval-Augmented Generation, is a technique that combines retrieving information from external sources with generating new content. In the video, Glean’s AI uses RAG to provide personalized, accurate, and referenceable answers by pulling in data from the company’s knowledge base.

💡Custom generative apps

Custom generative apps are applications that use AI to generate new content or solutions based on specific user inputs. The video mentions that teams can create no-code and low-code generative apps using Glean’s platform, allowing businesses to scale their knowledge and processes.

💡360 customer view

A 360 customer view refers to a comprehensive understanding of customer interactions, preferences, and history. In the video, sales reps use Glean’s AI platform to gain this holistic view, which helps them better understand their customers and close deals faster.

💡Low-code and no-code

Low-code and no-code development refers to the ability to build software applications with minimal or no programming skills. The video emphasizes how Glean enables teams to build custom generative apps without needing deep technical expertise, making it accessible to a broader audience.

💡Permission-aware answers

Permission-aware answers refer to AI-generated responses that respect user permissions and data security protocols. Glean’s AI ensures that the information provided is secure, private, and fully traceable to source documentation, making the answers both reliable and compliant with access controls.

💡Connectors

Connectors are integration tools that link Glean’s AI to various company data sources such as content management systems, identity databases, and activity logs. The video explains how Glean uses hundreds of connectors to securely access and analyze company data for better information retrieval and workflow automation.

💡Multi-step prompts

Multi-step prompts are sequences of tasks or queries that can be automated using Glean’s AI. The video describes how employees can create, save, and share these prompts to automate complex workflows, enhancing productivity across different roles such as engineers, support agents, and IT teams.

Highlights

AI's potential to enhance work by deeply understanding data and context.

Glean as a work AI platform that understands company-specific data and context.

Glean's AI assistant provides 24/7 assistance, akin to an expert with company history.

Securely connects all company data including content, metadata, permissions, and identity.

Builds an Enterprise Knowledge Graph considering company's content and interactions.

AI model understands unique corporate jargon for personalized assistance.

Hybrid search and RAG technology for retrieving relevant information.

Generates personalized, secure, and referenceable answers.

Advanced prompting capabilities for creating, editing, saving, sharing, and discovering multi-step prompts.

Enables engineers to quickly triage and debug errors, accelerating code shipping.

Support agents can onboard easily and find answers to resolve cases swiftly.

Sales reps gain 360-degree customer views to close deals faster.

IT teams can deflect questions, solve issues, and close tickets automatically.

No-code and low-code custom generative apps and experiences to scale company knowledge.

Hundreds of connectors and flexibility to use chosen LLMs for implementation.

Quick implementation of Glean with immediate value and no costly professional services.

Glean empowers teams to work smarter with AI across various tasks and workflows.