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2024 - 2025 Knowledge Management for the AI-Enabled Enterprise

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    Report

  • January 2025
  • Region: Global
  • DMG Consulting LLC
  • ID: 6041107

Knowledge management (KM) solutions are earning users’ respect after nearly 40 years of striving to convince organizations of their value. Today’s advanced KM platforms, which leverage generative artificial intelligence (GenAI) and other AI technologies as core components, are a significant improvement over prior generations. Critical differentiators between earlier KM solutions and current AI-enabled systems include tools that automate the content authoring, maintenance, and expiration processes to considerably reduce the level of manual effort required.

In addition, feature-rich KM platforms use a combination of AI, analytics, and feedback from customers and employees to identify conflicting, at-risk, missing, or outdated information to keep knowledge up-to-date and limit the “garbage in/garbage out” challenge that has been a major impediment to these solutions. While humans still need to oversee these applications, this activity is more manageable and less time-consuming than in the past.

Detailed and comprehensive coverage of this increasingly relevant sector

The report examines the KM market, competitive landscape, technology, products, functional capabilities, and the business, servicing, and market trends that are driving adoption and innovation. The Report features six leading and contending vendors: KMS Lighthouse, livepro, NICE, Salesforce, Shelf, and Verint Systems.

RFP Q&As prospects need to identify and select the right KM platform

The report includes detailed side-by-side comparative analyses of 160+ RFP questions and vendor responses to enable end-users seeking a KM platform to easily compare the most important features for their organization’s success. (Vendor responses have been carefully reviewed and vetted by the team of leading contact center and back-office technology and operations experts during in-depth live product demonstrations.)

The report’s side-by-side analyses compare a wide range of information, including:

  • Omnichannel/Multi-Modal Support
  • Artificial Intelligence (AI) and GenAI
  • Integration
  • Content Capture, Structure, and Configuration
  • Asset Management
  • Search
  • Customer-Facing Applications
  • Agent-/Employee-Facing Applications
  • Security and Compliance Features
  • Guardrails

Table of Contents


1. Executive Summary2. Introduction
3. Research Methodology
3.1 Report Participation Criteria

4.Knowledge Management Defined
4.1 Knowledge Management High-Level Functional Components

5. Knowledge Management Market Trends and Challenges
5.1 Knowledge Management Market Trends
5.2 Knowledge Management Market Challenges

6. Knowledge Management Market Innovation
6.1 New Product Features
6.2 Emerging Capabilities

7. AI, KM, and the Contact Center Data Challenge
7.1 Content Structure and Configuration
7.2 Search: Making Content Accessible and Actionable
7.3 Guardrails and Governance

8. KM Elevates the CX and EX to Drive Better Outcomes
8.1 Omnichannel Capabilities
8.2 Self-Service
8.3 Agent Augmentation

9. Knowledge Synthesis: From Acquisition to Application
9.1 Data Acquisition/Authoring
9.2 Review, Revision, and Approval
9.3 Publication and Management

10. High-Level Technical Analysis
10.1 Security and Compliance
10.2 Business Intelligence and Analytics

11. Knowledge Management Market Activity and Projections
12. Knowledge Management Competitive Landscape
12.1 Company Snapshot

13. Implementation Analysis
13.1 Integration

14. Knowledge Management Pricing
14.1 Knowledge Management Cloud-Based Pricing

15. Company Reports
15.1 KMS Lighthouse
15.2 livepro
15.3 NICE
15.4 Salesforce
15.5 Shelf
15.6 Verint Systems

Appendix: Knowledge Management Vendor Directory
Table of Figures
Figure 1: Knowledge Management
Figure 2: Product Information
Figure 3: Knowledge Management Market Trends
Figure 4: Knowledge Management Market Challenges
Figure 5: New Product Features, by Vendor
Figure 6: Future Enhancements, by Category
Figure 7: KM Related AI/GenAI Use Cases
Figure 8: Artificial Intelligence and GenAI
Figure 9: Content Capture, Structure, and Configuration
Figure 10: Search
Figure 11: Guardrails and Governance
Figure 12: Omnichannel/Multi-Modal Support
Figure 13: Customer-Facing Applications
Figure 14: Agent/Employee-Facing Applications
Figure 15: Data Acquisition and Authoring
Figure 16: Review, Revision, and Approval
Figure 17: Publication, Distribution, and Management
Figure 18: High-Level Technical Analysis
Figure 19: Security and Compliance
Figure 20: Business Intelligence, Reporting, and Dashboards
Figure 21: KM Competitive Landscape
Figure 22: Company Information, as of August 31, 2024
Figure 23: Implementation Analysis
Figure 24: Integration
Figure 25: Pricing for a 250-Seat Omnichannel Cloud-Based Contact Center Knowledge Management Implementation