Content related to Final Agenda Set for Semantic Layer Symposium 2024: Don’t Miss Out!
Designing an Organization’s KM Journey
Organizations across the world are grappling with how to maximize the knowledge that their employees have access to. They face similar core business challenges related to knowledge management (KM): Staff can’t easily find useful and relevant information, when they need … Continue reading
How Knowledge Management Can Improve Your Business Process
In today’s rapidly advancing global market, effective Business Process Management (BPM) is essential for organizations as they navigate constant change and work to preserve their competitive advantages and evolve as an organization to meet new internal requirements and constraints. At … Continue reading
What I’m Looking Forward to Learning at SEMANTiCS Austin 2020
SEMANTiCS Austin 2020 is the inaugural SEMANTiCS U.S. conference that will bring together knowledge graphs, ontologies, and Enterprise AI. These topics, among others, are of particular interest to my work in search and semantics, and I am excited to see … Continue reading
What’s the Difference Between an Ontology and a Knowledge Graph?
As semantic applications become increasingly hot topics in the industry, clients often come to EK asking about ontologies and knowledge graphs. Specifically, they want to know the differences between the two. Are ontologies and knowledge graphs the same thing? If … Continue reading
5 Ways a Quality KM Strategy Leads to Effective Project Management
Knowledge Management (KM) for projects is vital for organizations to compete and survive in a dynamic environment. In this vein, a great Knowledge Management strategy powers more effective project management. Project managers need reliable and appropriate information to perform their … Continue reading
What is the Roadmap to Enterprise AI?
Artificial Intelligence technologies allow organizations to streamline processes, optimize logistics, drive engagement, and enhance predictability as the organizations themselves become more agile, experimental, and adaptable. To demystify the process of incorporating AI capabilities into your own enterprise, we broke it … Continue reading
Exploring Enterprise Search and Knowledge Graphs
The ability to search across various systems is a growing need with many of our clients. Content is created by different teams, in different systems within an organization and a broad array of consumers of said content require the ability … Continue reading
What is Artificial Intelligence (AI) for the Enterprise?
Artificial intelligence (AI) is set to be the key source of transformation, disruption, and competitive advantage in today’s fast-changing economy. Gartner estimates that AI will create $2.9 trillion in business value and 6.2 billion hours of worker productivity in 2021. … Continue reading
Knowledge Graphs Creating a Connected Search Experience
This presentation, delivered by Joseph Hilger of Enterprise Knowledge at KMWorld 2019 in Washington, D.C., defines knowledge graphs, explores how they are implemented, and outlines how they can be used to enhance enterprise search. Knowledge graphs are changing the way search … Continue reading
The 5 Key Components of a Semantic Search Experience
Semantic Search extends meaning and context to your otherwise run-of-the-mill search results. This future-ready phase of search seeks to apply machine-driven understanding of user intent, query context, and the relationships between words. We broke down the primary elements that make … Continue reading