Content related to What is a Large Language Model (LLM)?
KM Showcase 2020: Leveraging KM as the Foundation for AI
This presentation from Joe Hilger, Founder and COO of Enterprise Knowledge was presented at the KM Showcase 2020 in Arlington, VA on March 5th. The presentation addresses why knowledge management (KM) is the foundation for successful artificial intelligence (AI). Hilger … 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
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
Why a Knowledge Graph is the Best Way to Upgrade Your Taxonomy
Many organizations begin their journey in semantic solutions with a taxonomy. Taxonomies are simple information models that help organizations describe and structure their information in a hierarchy. They are effective for organizing content and data, but do not capture all … Continue reading
Four Key Components of Enterprise Knowledge Graphs
Enterprise knowledge graphs are an incredibly valuable tool for relating your structured and unstructured information, allowing you to easily obtain actionable insights from large amounts of information across your enterprise. An enterprise knowledge graph is also an important foundation for … Continue reading