-->
Enterprise Application Integration > Features
Enterprise application integration (EAI) is being used as a knowledge management strategy, tying together critical bits of information gathered from various systems throughout the enterprise. All of the information far-flung across the enterprise and the need to communicate with outside firms make enterprise application integration tools all the more valuable to managing knowledge effectively.

KMWorld 2024 Is Nov. 18-21 in Washington, DC. Register now for Super Early Bird Savings!

KMWorld 2023 Video - The Global Knowledge Center: A Big Picture View

What are the key elements of a Global Knowledge Center, and what does it take to build one?

KMWorld 100 Companies That Matter in Knowledge Management 2024

We think these companies play a pivotal role in shaping the future and bringing relevancy to how knowledge is harnessed and made useful across diverse sectors. They are committed to driving efficiency and effectiveness through KM to organizations of all types.

Personalization to support customer engagement and boost revenue

Over time, consumers have become accustomed to personalized results when they search for products and services. They are demanding that the brands they deal with have a deep understanding of their individual needs.

Using Generative AI for real-world KM solutions

The overarching utility derived from GenAI capabilities relies on organizations' proficiency to reduce redundancy to minimize inaccuracies, monitor outputs, and trace responses to the underlying data sources from which their responses are produced.

Master These Five KM Practices for Success

Knowledge management is a journey— not a project or a technology—and people are at the heart of it. Whether an organization is starting a new KM program or continuing to evolve and expand an existing program, it is critical to have a documented strategy and focus on all the essentials.

Promises and Perils of AI for Enterprise Knowledge Management

This survey reveals both excitement and trepidation around enterprise AI adoption for knowledge management. Long-standing problems around information access, data quality, and speedy acquisition of needed information are the puzzle pieces that AI has the potential to solve.

Overcoming data silos: A range of options

The options are many and varied when it comes to taming silos. The specific approach should depend on the use case, the organization's existing knowledge assets, and the strategic goals.

Modern KM tools and techniques for collaboration

Modern collaboration means and mechanisms ultimately make it easier, less risky, and more productive for organizations to work together within business units, between them, and between organizations. Constructs such as data mesh architecture, data fabric architecture, data access governance platforms, data catalogs, and process automation solutions are based on sharing information between parties—and make doing so tenable.

The future of KM is not simply AI

Until KM systems can achieve trust in AI, a totally AI-centric workplace will be a fantasy. The future of KM will be based on collaborative work habits, fueled by technology that encourages knowledge sharing, enhances productivity, supports employees to have a healthy work life, and accepts that not every aspect of knowledge management is technology-reliant.

2023 Readers' Choice Award- Best Knowledge Graphs: Franz Inc. AllegroGraph - LLMs and Knowledge Graphs for AI in the Enterprise

Franz Inc. not only offers cutting-edge technology but also provides a suite of services for building industrial-strength Knowledge Graphs. By combining the semantic richness of AllegroGraph with the natural language processing capabilities of LLMs, organizations can unlock the full potential of their data, ensuring that AI-driven insights are grounded in facts.

The future of knowledge management: Talking to documents with generative AI

The fundamental pillars of KM—taxonomies, domain-specific data models, knowledge extraction, search, and text analytics—are as pertinent today as they ever were. Now, generative AI has rendered these constructs much more accessible to the enterprise. Its long-standing utility will be determined by surmounting models' tendencies to generate contrived, inaccurate responses while embedding them into core KM processes.

Data governance solves multiple KM challenges

Organizations are recognizing that effective data governance is ultimately more of a benefit than a burden. It increases efficiency by delivering trusted data, improves business processes, decreases data downtime, and reduces compliance risk. It also promotes data literacy throughout the enterprise.

eGain - Eliminating content, knowhow, and analytics silos, creating one trusted source for AI-infused knowledge

An end-to-end solution that unifies and orchestrates all the building blocks needed for modern, KM, infused with conversational and generative AI, the Hub eliminates content, knowhow, and analytics silos, creating one trusted source for knowledge.

RightAnswers—Better Knowledge Knowledge Management Means Better Customer Support

RightAnswers gives you the flexibility to connect all available knowledge sources and deliver relevant information to your customers, contact center agents, and across the enterprise. Discover the power of connected knowledge!

JOIN US AT KMWORLD NOVEMBER 6–9, 2023 JW MARRIOTT WASHINGTON, D.C.

It's an exciting time for KM, with new technologies and new approaches sparking new opportunities. The KMWorld conference, the largest global gathering of KM thought leaders, practitioners, and authors, returns to Washington, D.C., this November.

The KMWorld AI 100: The Companies Empowering Intelligent Knowledge Management

AI reaches many different areas within organizations—marketing, customer service, legal, finance, human resources, compliance, fleet maintenance, manufacturing, sales, and other business units as well. AI touches almost every piece of an organization's structure and operations, as well as their customer-facing presence. 

AI 100 Trailblazer: KMS Lighthouse: Pioneering the Future of AI in Knowledge Management

KMS Lighthouse has developed AI technology and automation solutions including smart routing, agent assist and auto-answer. KMS Lighthouse Automation technology saves millions per year by learning from historical free text customer engagements to streamline ticketing, email and chat for employees and customers.

AI 100 Trailblazer: Mindbreeze—Extract Information that Matters to You

Using knowledge extraction, Mindbreeze enables key information and its meaning to be obtained and linked to previously labeled data. This revolutionary technique can transform outdated business processes and reduce timely job functions.

AI 100 Trailblazer: Poolparty Semantic AI: Fact Validated Insights for ESG Compliance

The Semantic AI capabilities of PoolParty capture the knowledge of enterprise experts in a domain that can be utilized in various integrated solutions— in other words, it is AI that is not only powerful but also trustworthy.

MANAGING KNOWLEDGE COMPLEXITY THROUGH VISUALIZATION

The flexibility of current visualization tools makes them an asset to any analytical initiative. These products can visualize data contained in relational databases or graph databases, and they provide engaging opportunities for exploring data to reveal information that predefined queries would not. As AI capabilities are incorporated and natural language interfaces become the norm, visualization will only become easier and more valuable in the coming years.