Enterprise AI content hub: guides & studies

15 AI prompts every project manager should be using

Stephanie Baladi

Content Marketing Manager

Universal knowledge brings real-time world (internet) data and enterprise data to Work AI

Glean’s next-generation data analysis: making real-time insights across files, applications, and databases accessible to all

Glean active data and AI governance protects enterprise data for the age of agents

Glean introduces Glean Agents and advances Work AI platform with the most comprehensive access to work and world knowledge

Glean Agents: the horizontal environment for building, deploying, orchestrating, and governing AI agents in the enterprise

Glean’s structured data analytics makes data analysis quick, personalized, and automated for everyone

Why prompt engineering is essential for CIOs to deliver AI transformation

40+ AI prompt examples for different department use cases in an organization

A complete guide to generative AI agents in 2025

Glean and Miro partner to bring contextual enterprise knowledge directly into Miro’s Innovation Workspace

What CIOs need to know when integrating generative AI into the workplace

Writing prompts that generate great results from AI

How to create an effective AI strategy in 2024

Top 9 enterprise generative AI tools for 2025

Glean and DataStax join forces to help developers harness powerful enterprise search

Enterprise Generative AI: A Complete Guide 2024

Glean and Salesforce: Bringing enterprise-wide AI insights into the conversation with new AI assistant in Slack

Tamar Yehoshua

President, Product and Technology

Customer support made easy with Glean Assist for Zendesk and Service Cloud

Upleveling Glean’s identity: Bringing clarity to life

Glean raises over $260M series E and launches next-generation prompting to accelerate its vision of Work AI for all

What is an AI prompt? Examples, types, and templates (2026)

How Glean empowers support teams to process tickets and resolve issues faster

How marketing teams can use Glean Apps and Glean Actions for task automation and content generation

How KV caches impact time to first token for LLMs

How CIOs can find the right AI platform for enterprise workflows

How customer support can use Glean Apps and Glean Actions to resolve tickets and improve customer experiences

How input token count impacts the latency of AI chat tools

A comprehensive guide to information retrieval

Using AI Evaluator to ensure Glean Assistant meets modern enterprise needs

Glean and Databricks AI/BI Genie partnership enables querying of complex data & unlocks the full breadth of your enterprise data

Tamar Yehoshua

President, Product and Technology

What is an AI agent? A Complete Guide

Glean supports Gemini 1.5 Pro on Vertex AI and Claude 3 Sonnet on Bedrock along with broader multi-LLM support

Introducing Glean Apps and APIs: Build custom generative AI agents securely at scale

RAG, or Retrieval Augmented Generation: Revolutionizing AI in 2025

Top 9 AI assistants to increase workplace productivity

What sets great retrieval augmented generation apart — and why vector search isn’t enough for AI

Retrieval augmented generation use cases: Transforming data into insights

Essential considerations for CIOs when integrating generative AI and agents

Task Management at Work: 9 Strategies That Cut Busywork

LLM knowledge base: How does it increase employee productivity?

What CIOs need to know when integrating generative AI into the workplace

How to improve employee efficiency in 2025

Cognitive search: What it is & how it works (Guide for 2024)

Generative AI vs predictive AI: Understanding the differences and applications

Glean is coming to Google Cloud Next 2024!

Why Glean?

Tamar Yehoshua

President, Product and Technology

Structured vs unstructured data: differences and examples

Enterprise knowledge management: A comprehensive guide 2024

What is semantic search, and how does it enhance enterprise productivity?

Why great enterprise search and generative AI requires a comprehensive knowledge graph

Glean to expand enterprise choices for generative AI with NVIDIA

Intranet best practices: Enhancing internal communications and collaboration in 2024

What is Intelligent Search and why does it matter?

Glean recognized by IDC MarketScape as leader in knowledge discovery software

Enterprise AI Search: Revolutionizing information retrieval for optimal business efficiency

Glean raises over $200M at $2.2B valuation to accelerate deployment of generative AI in the enterprise

Company knowledge base: What is it & how it empowers organizations

How CIOs are weighing the risks and benefits of generative AI

What is knowledge management?

Unlocking the power of enterprise search with LLM technology: A comprehensive exploration

Why CIOs now see potential over cost when it comes to generative AI

Internal search: benefits, use cases, and AI upgrades

How CIOs will determine the future of business success through generative AI

What is Search as a Service?

AI search: What is it & how does it improve business efficiency

Secure generative AI for the enterprise requires the right permissions structure

A Complete Guide to Search Personalization: Enhancing User Experience

Retrieval Augmented Generation (RAG) – The key to enabling generative AI for the enterprise

What is an internal knowledge base? Definitive Guide

Top 9 enterprise search software Tools and Solution in 2025

What is enterprise search?

Glean partners with Amazon Bedrock to deliver transformative generative AI and knowledge discovery

Why a unified document model is essential for a comprehensive workplace ChatGPT

Intranet best practices: how to build a modern, high-adoption intranet

What is Vector Search?

Designing Glean for accessibility – screen reader, color schemes, & more

Glean Platform: Build custom generative AI solutions for work

Designing Glean for accessibility – focus & shortcuts

Why intuitive work assistance is more relevant than ever in the age of generative AI

Why building a workplace ChatGPT requires a great crawler

How Super.com supercharged productivity and knowledge management through Glean

How to build an AI assistant for the enterprise

Why great software development requires great knowledge management

Glean’s Org Chart is the easiest way to explore your company, all in one place

Software development success relies on maximizing coding time and efficiency

Introducing Glean Chat: Explore the full potential of AI chat assistance for the workplace

Transforming the way software engineers work by integrating generative AI

Three essential keys to recruiting and building new teams

Glean sparks curiosities around generative LLMs for the workplace at World Summit AI 2023

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15 AI prompts every project manager should be using

Universal knowledge brings real-time world (internet) data and enterprise data to Work AI

Glean’s next-generation data analysis: making real-time insights across files, applications, and databases accessible to all

Glean active data and AI governance protects enterprise data for the age of agents

Glean introduces Glean Agents and advances Work AI platform with the most comprehensive access to work and world knowledge

Glean Agents: the horizontal environment for building, deploying, orchestrating, and governing AI agents in the enterprise

Understanding the AI tax: How to avoid the hidden cost of AI

What is AI security?

Leverage AI’s full potential for sales workflows with better prompts

A complete guide to retrieval augmented generation vs fine-tuning

30 AI prompts for finance professionals

Glean in Microsoft Teams: Bringing contextual knowledge to where you work

30 best AI prompts for operational management

9 best generative AI tools for enterprises in 2025

Building agentic reasoning for the modern workspace

Agentic reasoning: The future of Work AI

Glean’s structured data analytics makes data analysis quick, personalized, and automated for everyone

Why prompt engineering is essential for CIOs to deliver AI transformation

40+ AI prompt examples for different department use cases in an organization

A complete guide to generative AI agents in 2025

Glean and Miro partner to bring contextual enterprise knowledge directly into Miro’s Innovation Workspace

What CIOs need to know when integrating generative AI into the workplace

Writing prompts that generate great results from AI

How to create an effective AI strategy in 2024

Top 9 enterprise generative AI tools for 2025

Glean and DataStax join forces to help developers harness powerful enterprise search

Enterprise Generative AI: A Complete Guide 2024

Glean and Salesforce: Bringing enterprise-wide AI insights into the conversation with new AI assistant in Slack

Customer support made easy with Glean Assist for Zendesk and Service Cloud

Upleveling Glean’s identity: Bringing clarity to life

Glean raises over $260M series E and launches next-generation prompting to accelerate its vision of Work AI for all

What is an AI prompt? Examples, types, and templates (2026)

How Glean empowers support teams to process tickets and resolve issues faster

How marketing teams can use Glean Apps and Glean Actions for task automation and content generation

How KV caches impact time to first token for LLMs

How CIOs can find the right AI platform for enterprise workflows

How customer support can use Glean Apps and Glean Actions to resolve tickets and improve customer experiences

How input token count impacts the latency of AI chat tools

A comprehensive guide to information retrieval

Using AI Evaluator to ensure Glean Assistant meets modern enterprise needs

Glean and Databricks AI/BI Genie partnership enables querying of complex data & unlocks the full breadth of your enterprise data

What is an AI agent? A Complete Guide

Glean supports Gemini 1.5 Pro on Vertex AI and Claude 3 Sonnet on Bedrock along with broader multi-LLM support

Introducing Glean Apps and APIs: Build custom generative AI agents securely at scale

RAG, or Retrieval Augmented Generation: Revolutionizing AI in 2025

Top 9 AI assistants to increase workplace productivity

What sets great retrieval augmented generation apart — and why vector search isn’t enough for AI

Retrieval augmented generation use cases: Transforming data into insights

Essential considerations for CIOs when integrating generative AI and agents

Task Management at Work: 9 Strategies That Cut Busywork

LLM knowledge base: How does it increase employee productivity?

What CIOs need to know when integrating generative AI into the workplace

How to improve employee efficiency in 2025

Cognitive search: What it is & how it works (Guide for 2024)

Generative AI vs predictive AI: Understanding the differences and applications

Glean is coming to Google Cloud Next 2024!

Why Glean?

Structured vs unstructured data: differences and examples

Enterprise knowledge management: A comprehensive guide 2024

What is semantic search, and how does it enhance enterprise productivity?

Why great enterprise search and generative AI requires a comprehensive knowledge graph

Glean to expand enterprise choices for generative AI with NVIDIA

Intranet best practices: Enhancing internal communications and collaboration in 2024

What is Intelligent Search and why does it matter?

Glean recognized by IDC MarketScape as leader in knowledge discovery software

Enterprise AI Search: Revolutionizing information retrieval for optimal business efficiency

Glean raises over $200M at $2.2B valuation to accelerate deployment of generative AI in the enterprise

Company knowledge base: What is it & how it empowers organizations

How CIOs are weighing the risks and benefits of generative AI

What is knowledge management?

Unlocking the power of enterprise search with LLM technology: A comprehensive exploration

Why CIOs now see potential over cost when it comes to generative AI

Internal search: benefits, use cases, and AI upgrades

How CIOs will determine the future of business success through generative AI

What is Search as a Service?

AI search: What is it & how does it improve business efficiency

Secure generative AI for the enterprise requires the right permissions structure