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Knowledge Graphs
A knowledge graph, also known as a semantic network, represents a network of real-world entities - i.e. objects, events, situations, or concepts - and illustrates the relationship between them.

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Features

KMWorld 100 Companies That Matter in Knowledge Management 2026

Companies on this list are wonderful examples of how their products expand the power of KM in changing knowledge environments. They stand out in the KM field, and we applaud their accomplishments. As always, the list is meant to generate interest and to spark discussion. Let us know what you think, and alert us to anything we might have missed.

Securing Your Internal Knowledge Amidst Shadow AI

The pervasiveness of advanced ML models, as well as their effectiveness for increasing productivity, has multiplied the difficulty in securing internal knowledge. Organizations cannot afford to forsake the staples of data access governance,which include data discovery, data classification, access control policy authoring and implementation, monitoringand auditing for regulatory compliance, data privacy, and data security.

Impact of AI on KM Strategy: A Two-Way Street

AI's impact on KM strategy is omnipresent and includes recognizing its potential, particularly for enhancing existing knowledgebases and automating existing processes, while acknowledging the critical role of accurate, clean data to which organizations have access. Consider it a two-way street when setting organizational strategies.

The Leading Knowledge Management Services Firm to Help You Bridge Your Knowledge, Data, and AI Goals - Enterprise Knowledge

Where most organizations are still struggling to realize value from AI initiatives or move beyond the pilot phase, at EK, we've ensured our clients are realizing measurable business returns at the enterprise level. Our success in this space stems from our constant stance forward, helping to not just spot the forthcoming trends, but actually to establish them.

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How Semantic AI & Knowledge Graphs Can Turn M365 Environments Into a Smart Knowledge Hub

By eliminating data silos, semantic AI enriches customer data and content and enables greater knowledge discovery across an organization. Due to its diverse capabilities, such as text mining, tagging, semantic search, etc., it can be implemented along the whole data and content lifecycle in order to develop intelligent applications. When integrated with an organization's CMS, semantic AI can help individuals get the information they need sooner.

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Forget AI Magic, Embrace the Knowledge Graph

The advances in AI and information management are not our enemies; they are our most powerful allies. When wielded by skilled KM professionals, these technologies work. When deployed without our input, they fail miserably, delivering incorrect, misleading, or plain nonsensical results.

Scarcity Versus Abundance

The Knowledge Age we've been talking about for so long has finally arrived. The potential for scarcity is real, but so is the potential for overflowing abundance. Let's bring every tool in our KM arsenal to bear, along with our decades of experience, and help make it happen.

What is Bharat and why should you care?

Knowledge should always be considered as accretive, not something that's "here today, gone tomorrow."

Knowledge Management Whitepapers

100 Companies that Matter in Knowledge Management 2026

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How High Tech Leaders Can Transform Digital Content

Digital Content Transformation in Manufacturing

Knowledge Graphs Companies and Suppliers
Knowledge Graphs Directory