Are you navigating through the complexities of managing your enterprise's unstructured data? Check out our infographic on how data can become "dark."| Enterprise Knowledge
Sometimes the words “taxonomy” and “ontology” are used interchangeably, and while they are closely related, they are not the same thing. They are both considered kinds of knowledge organization systems to support information and knowledge management.| Enterprise Knowledge
With the rise of ChatGPT and other generative AI tools in the last year, there’s a common misconception that you can “do” AI on any content with no preparation. If you want accurate and useful results and insights, however, it requires some upfront work. Understanding how AI interacts with your content and how your content strategy supports AI readiness will set you up for an effective AI implementation.| Enterprise Knowledge
With EK’s Enterprise LLM Accelerator, our experts can help you identify the right LLM framework for your bespoke business domain and security requirements through a customized pilot and private LLM that sits behind your organization’s firewalls – with the ability to be contextual with your data using vector embeddings. Learn how to adapt generative AI trained on your secure data to solve domain-specific problems in your organization.| Enterprise Knowledge
In Part 2 of her series on knowledge intelligence architecture, Urmi Majumder discusses unstructured content and how to make it suitable for AI.| Enterprise Knowledge
James Midkiff and Sara Duane define auto-tagging and help your organization understand when to leverage automated tagging and classification capabilities.| Enterprise Knowledge
The terms “findability” and “discoverability” may seem similar, but these terms are distinct, and are key outcomes that should be part of any KM strategy.| Enterprise Knowledge
Faceting can be one of the best ways to ensure your people find and discover the content they need to do their job. Read on to learn more.| Enterprise Knowledge
EK's Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Dawn Brushammar, Independent Knowledge Management Consultant.| Enterprise Knowledge
This blog explains auto-classification for the enterprise, including the organizational benefits and different methods.| Enterprise Knowledge
EK's Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Paco Nathan, Principal DevRel Engineer at Senzing.| Enterprise Knowledge
This blog breaks down types of knowledge assets that are commonly found in organizations and provides industry-specific examples.| Enterprise Knowledge
EK’s approach to evaluating and roadmapping an LLM solution from PoC to production-scaling an LLM-based enterprise solution.| Enterprise Knowledge
Taxonomies are a core piece of most knowledge management efforts. Well-designed and applied taxonomies facilitate findability and discoverability through the capture, management, and presentation of content metadata.| Enterprise Knowledge
Updating our definition of the Semantic Layer to reflect developments in the field, and addressing some applications & use cases.| Enterprise Knowledge
There are a variety of syntaxes or flavors that can be used to represent knowledge graphs. One of the most popular and ubiquitous is the Resource Description Framework (RDF), which provides a means to capture meaning, or semantics, in a way that is interpretable by both humans and machines.| Enterprise Knowledge
...the recent merger of two prominent companies in the semantic web space, Semantic Web Company and Ontotext, now operating as Graphwise.| Enterprise Knowledge
Joe Hilger speaks with Matthieu Besozzi, Head of North America at Linkurious. Linkurious is a leading provider of graph intelligence...| Enterprise Knowledge