Unlocking Knowledge Intelligence from Unstructured Data
Introduction Organizations generate, source, and consume vast amounts of unstructured data every day, including emails, reports, research documents, technical documentation, marketing materials, learning content and customer interactions. However, this wealth of information often remains hidden and siloed, making it challenging … Continue reading
Enterprise AI Architecture Series: How to Inject Business Context into Structured Data using a Semantic Layer (Part 3)
Introduction AI has attracted significant attention in recent years, prompting me to explore enterprise AI architectures through a multi-part blog series this year. Part 1 of this series introduced the key technical components required for implementing an enterprise AI architecture. … Continue reading
Webinar: Semantic Layer Technical Deep Dive
In this webinar, Enterprise Knowledge’s Sara Mae O’Brien-Scott moderates a conversation with Chris Marino, Urmi Majumder, and Heather Hedden as they take a deep dive in the the technical aspects of a Semantic Layer. The panelists explore the components that … Continue reading
Webinar: Different Applications of a Semantic Layer Industry Panel
In this webinar, Enterprise Knowledge’s Lulit Tesfaye moderates a conversation with Malcolm Hawker, Polly Alexander, and Mohammed Aaser to discuss the role of Semantic Layers, what they are, and what value they offer organizations in the quickly changing world being … Continue reading
Industry Panel: Different Applications of a Semantic Layer
Join a collection of the world’s most prominent voices in data science, information management, and artificial intelligence to discuss the role of Semantic Layers, what they are, and what value they offer organizations in the quickly changing world being shaped … Continue reading
Jumpstarting Your Semantic Solution Design with UML Diagrams
Where do I start? Whether it be a taxonomy, an ontology, or a knowledge graph, this is a common question that we get from clients when they are beginning their scoping journey. We get it. It is difficult to define … Continue reading
The Importance of a Semantic Layer in a Knowledge Management Technology Suite
One of the most common Knowledge Management (KM) pitfalls at any organization is the inability to find fresh, reliable information at the time of need. One of, if not the most prominent, causes of this inability to quickly find information … Continue reading
Five Steps to Implement Search with a Knowledge Graph
Knowledge Graphs and Search are commonly linked together to support search use cases such as: Returning contextual relationships with search results; Displaying relevant topics in a knowledge panel; or Powering an expert finder. These advanced use cases enable an organization … Continue reading