eGain Publishes Third Special Edition of Knowledge Management for Dummies, Updated for the GenAI Era

eGain (NASDAQ: EGAN) published the third special edition of Knowledge Management for Dummies on March 9, 2026, adding a new chapter on generative AI (GenAI) best practices and enterprise success stories.

Rhea-AI Summary

eGain (NASDAQ: EGAN) published the third special edition of Knowledge Management for Dummies on March 9, 2026, adding a new chapter on generative AI (GenAI) best practices and enterprise success stories.

The edition highlights 5X knowledge creation acceleration and 6X search success improvements from real-world deployments, guidance on selecting KM partners, and broader KM use across HR, IT, and operations. The booklet is available for free download at the company's website.

Positive

• Real-world deployments show 5X knowledge creation acceleration
• Real-world deployments show 6X improvement in search success
• Includes practical guidance on evaluating and selecting knowledge management partners

Negative

• Warns that GenAI virtual assistants will fail without curated, governed knowledge
• Notes GenAI risks including hallucination and inconsistent answers without KM

Argus Mar 9 session

+0.73% close to close Open Argus

Details

News Market Reaction – EGAN

In the Mar 9 session, EGAN gained 0.73%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement reinforces eGain’s focus on GenAI-enabled knowledge management, highlighting repor...

Analysis

This announcement reinforces eGain’s focus on GenAI-enabled knowledge management, highlighting reported 5X gains in knowledge creation and 6X search success from real-world deployments. It follows recent AI customer wins and conferences that emphasize the same theme. Investors may watch how these thought-leadership efforts translate into sustained AI Knowledge Hub ARR growth and whether the company’s position between its $4.34 low and $15.95 high evolves with future execution.

Key Figures

Knowledge creation acceleration: 5X Search success improvement: 6X GenAI VA failure rate: 100% +5 more

Knowledge creation acceleration

5X

Reported improvement from real-world GenAI KM deployments

Search success improvement

6X

Reported improvement from GenAI with trusted knowledge management

GenAI VA failure rate

100%

Gartner view without trusted knowledge management

Share price

$9.60

Pre-news current price

Daily price change

2.35%

Change over prior 24 hours before publication

Today’s volume

412,839

Trading volume vs 20-day average of 262,000

52-week high

$15.95

Upper end of 52-week trading range

52-week low

$4.34

Lower end of 52-week trading range

Historical Context

5 past events · Latest: Feb 09

5 events

1. Feb 09

   AI customer win

   24h Move

   +0.0%

   Cabinetworks Group chose eGain AI Knowledge Hub and AI Agent deployment.

2. Feb 03

   Earnings results

   24h Move

   -0.1%

   Q2 2026 results with revenue growth and higher AI Knowledge Hub ARR.

3. Jan 28

   Conference participation

   24h Move

   -0.8%

   Management participation in Oppenheimer Emerging Growth investor conference.

4. Jan 27

   Earnings date notice

   24h Move

   -0.8%

   Announcement of upcoming fiscal Q2 2026 results and investor call details.

5. Jan 22

   AI conference

   24h Move

   +1.9%

   Announcement of Solve 26 London focused on AI-powered knowledge management.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

genai, large language models, knowledge management, virtual assistants

4 terms

genai technical

"includes a brand-new chapter dedicated to generative AI (GenAI) best practices"

Generative AI (genai) is a type of artificial intelligence designed to create new content, such as text, images, or music, that resembles human-produced work. It matters to investors because it has the potential to transform industries by automating tasks, enhancing creativity, and enabling new products and services, which can influence company performance and market opportunities.

large language models technical

"demystifies how large language models interact with enterprise knowledge bases"

Large language models are advanced AI systems trained on vast amounts of text to understand and generate human-like writing, like a very fast reader and writer that learns patterns in words and sentences. They matter to investors because they can change how companies operate—automating customer service, speeding analysis, cutting costs, creating new products—and they introduce risks around accuracy, security and regulation that can affect a firm’s revenue and reputation.

knowledge management technical

"why the Knowledge Management discipline has never been more important"

Knowledge management is the process of gathering, organizing, and sharing valuable information within an organization to improve decision-making and efficiency. For investors, it matters because well-managed knowledge helps companies innovate, adapt to changes, and operate more effectively—factors that can influence their success and stability over time. Think of it as a well-organized library that ensures the right information is available to the right people when needed.

virtual assistants technical

"deploy AI agents and virtual assistants, many are discovering a hard truth"

Virtual assistants are software tools, often powered by artificial intelligence, that perform tasks like answering customer questions, scheduling, routing requests, or pulling data, acting like a digital employee you can text or talk to. They matter to investors because they can reduce labor costs, speed service, and boost sales or user engagement—like replacing repetitive human work with an automated helper—while also carrying risks around accuracy, privacy, and implementation costs.

AI-generated analysis. How Rhea-AI works. Not financial advice.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

New Edition Features Dedicated Chapter on GenAI Best Practices and Real-World Success Stories Showing 5X Knowledge Creation Acceleration and 6X Search Success Improvement

SUNNYVALE, Calif., March 09, 2026 (GLOBE NEWSWIRE) -- eGain Corporation (NASDAQ: EGAN), the leading provider of AI-powered knowledge management for enterprise customer service, today announced the release of the third special edition of Knowledge Management for Dummies. The newly updated booklet, co-authored by Anand Subramaniam, Ian Jones, and Lawrence Miller, includes a brand-new chapter dedicated to generative AI (GenAI) best practices and features compelling real-world success stories from enterprise deployments.

The release comes at a critical inflection point for enterprise AI adoption. According to Gartner, 100% of GenAI virtual assistants for customers and contact center agents will fail without trusted knowledge management — underscoring why the Knowledge Management discipline has never been more important.

What’s New in the Third Special Edition

Building on the success of previous editions, this update takes a clear-eyed look at how GenAI and knowledge management work in concert to deliver transformational business impact. Key additions include:

• A dedicated GenAI chapter that demystifies how large language models interact with enterprise knowledge bases, and what it takes to make AI outputs trustworthy and compliant.
• Proven results from real-world deployments, including enterprises that have achieved 5X acceleration in knowledge creation and 6X improvement in search success by combining GenAI with trusted knowledge management.
• Practical guidance on how to evaluate and select knowledge management solution partners, and how to structure KM initiatives for lasting success.
• Expanded applicability beyond the contact center — while the book’s KM use-case centers on customer service, the lessons and frameworks apply equally to HR, IT, operations, and other knowledge-intensive business functions.

“Every enterprise AI initiative ultimately depends on the quality and trustworthiness of its underlying knowledge. This edition of Knowledge Management for Dummies gives business and technology leaders the context and confidence to get that foundation right — and to make their GenAI investments pay off.”

— Ashu Roy, CEO, eGain Corporation

Why Knowledge Management Is the Foundation of Enterprise AI

As organizations across financial services, insurance, telecom, retail, healthcare, and manufacturing race to deploy AI agents and virtual assistants, many are discovering a hard truth: AI is only as good as the knowledge it draws on. Without a curated, governed, and continuously updated knowledge foundation, GenAI systems hallucinate, give inconsistent answers, and fail to meet compliance requirements.

Knowledge Management for Dummies, Third Special Edition defines and demystifies KM for business and technology readers alike — explaining what it is, why it matters, and how to do it well in an era of rapid AI adoption.

Availability

Knowledge Management for Dummies, Third Special Edition is available for free download at www.egain.com/knowledge-management-for-dummies.

About eGain Corporation

eGain is a leading provider of AI-powered knowledge management and customer experience automation solutions. With over 25 years of experience in knowledge management, eGain helps enterprises unify siloed content, automate trusted knowledge workflows, and deliver measurable AI-ROI through proven frameworks and methods. Global 2000 companies across industries rely on eGain to transform customer service, improve employee productivity, reduce costs, and accelerate AI adoption. Visit www.eGain.com for more information.

Media

press@egain.com

Certain statements in this press release are forward-looking and involve risks and uncertainties. Actual results may differ materially from those projected. eGain undertakes no obligation to update any forward-looking statement.

eGain, the eGain logo, and all other eGain product names and slogans are trademarks or registered trademarks of eGain Corporation in the United States and/or other countries. All other company names and products mentioned in this release may be trademarks or registered trademarks of their respective holders.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What does eGain announce in the March 9, 2026 Knowledge Management for Dummies update (EGAN)?

eGain released the third special edition with a new GenAI chapter and real-world results showing 5X and 6X improvements. According to the company, the booklet adds GenAI best practices, partner-selection guidance, and cross-functional KM frameworks for enterprise use.

How did the third edition quantify GenAI benefits in eGain's Knowledge Management for Dummies (EGAN)?

The edition cites enterprises achieving 5X knowledge creation acceleration and 6X search success improvement. According to the company, these are reported outcomes from real-world deployments combining GenAI with trusted knowledge management.

Where can investors and customers download the Knowledge Management for Dummies, Third Special Edition (EGAN)?

The booklet is available for free download on eGain's website at the specified knowledge management page. According to the company, the download provides practical frameworks and deployment examples for enterprise leaders.

Why does eGain say knowledge management is critical for GenAI initiatives (EGAN)?

eGain states that GenAI agents depend on curated, governed, and updated knowledge to avoid hallucinations and compliance failures. According to the company, trusted KM is the foundation for reliable AI answers across customer service and other functions.

Which business functions beyond contact centers does eGain say benefit from KM guidance in the new edition (EGAN)?

The edition says KM lessons apply to HR, IT, operations, and other knowledge-intensive functions beyond customer service. According to the company, the frameworks and practices are designed for broad enterprise adoption and governance.