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eGain Publishes Third Special Edition of Knowledge Management for Dummies, Updated for the GenAI Era
Globenewswire· 2026-03-09 13:00
Core Insights - eGain Corporation has released the third special edition of "Knowledge Management for Dummies," which includes a new chapter on generative AI (GenAI) best practices and real-world success stories demonstrating significant improvements in knowledge creation and search success [1][8] Group 1: Importance of Knowledge Management - The release comes at a pivotal moment for enterprise AI adoption, highlighting that 100% of GenAI virtual assistants will fail without trusted knowledge management, emphasizing the critical role of knowledge management [2] - The new edition emphasizes that the effectiveness of AI initiatives relies heavily on the quality and trustworthiness of the underlying knowledge, providing business and technology leaders with the necessary context to ensure successful GenAI investments [3][4] Group 2: Features of the New Edition - The updated edition includes a dedicated chapter that clarifies how large language models interact with enterprise knowledge bases, ensuring AI outputs are trustworthy and compliant [8] - Proven results from real-world deployments are showcased, with enterprises achieving a 5X acceleration in knowledge creation and a 6X improvement in search success by integrating GenAI with trusted knowledge management [8] - The book offers practical guidance on evaluating and selecting knowledge management solution partners and structuring KM initiatives for long-term success, with applicability extending beyond customer service to HR, IT, and other knowledge-intensive functions [8] Group 3: Company Background - eGain Corporation is a leading provider of AI-powered knowledge management and customer experience automation solutions, with over 25 years of experience in the field [7] - The company assists enterprises in unifying siloed content, automating trusted knowledge workflows, and delivering measurable AI ROI through established frameworks and methods [7]