Optimizing Historical Knowledge Retrieval: Leveraging an LLM for Content Cleanup
One of the top global leaders in automotive manufacturing faced significant challenges in managing and accessing critical knowledge across its diverse teams. The company engaged Enterprise Knowledge (EK) to conduct a Knowledge Management (KM) Strategy and solution implementation project plan after the failure of multiple KM initiatives. The engagement’s long-term goal is to establish a shared Knowledge Management System (KMS) to streamline access to crucial information, better leverage experts’ institutional knowledge and experience, and decrease new employees’ time to proficiency. Continue reading
Extracting Knowledge from Documents: Enabling Semantic Search for Pharmaceutical Research and Development
The Challenge A major pharmaceutical research and development company faced difficulty creating regulatory reports and files based on years of drug experimentation data. Their regulatory intelligence teams and drug development chemists spent dozens of hours searching through hundreds of thousands … Continue reading
A Guide to Selecting the Right Auto-Tagging Approach
Auto-tagging processes automate the manual labor of applying relevant keyword tags to data and content, enhancing accessibility and improving the organization of large datasets. Whether you’re trying to improve how quickly you find data or embarking on a content cleanup … Continue reading
Expert Analysis: How Does My Organization Use Auto-tagging Effectively? Part Two
In part one of this series, James Midkiff and Sara Duane, senior technical consultants at EK, discussed what auto-tagging is and when an organization should use it. This blog will discuss auto-tagging best practices to answer the foundational question, “How … Continue reading
Identifying Security Risks Using Auto-Tagging and Text Analytics
On Thursday, November 10, Joe Hilger and Sara Duane spoke at Text Analytics Forum about identifying secure and confidential information using auto-tagging. Information security continues to grow in importance in today’s society. We hear stories all of the time about … Continue reading
Expert Analysis: When should my organization use auto-tagging? Part One
As EK works with our clients to design data models, including taxonomies and knowledge graphs, we often implement corresponding auto-tagging solutions to augment the organization and enrichment of unstructured content. In this blog series, two of our senior technical consultants, … Continue reading
Designing Your Taxonomy to Fit Your Use Case: Advanced Taxonomy Use Cases (Part 2)
In my previous blog, I wrote about building a taxonomy for two foundational use cases – findability and navigation – that we commonly design for at EK. This blog will focus on two advanced, yet still common, taxonomy use cases. … Continue reading
The Phantom Data Problem: Finding and Managing Secure Content
Every organization has content/information that needs to be treated as confidential. In some cases, it’s easy to know where this content is stored and to make sure that it is secure. In many other cases, this sensitive or confidential content … Continue reading
Knowledge AI: Content Recommender and Chatbot Powered by Auto-Tagging and an Enterprise Knowledge Graph
The Challenge A global development bank needed a better way to disseminate information and in-house expertise to all of their staff to support the efficient completion of projects, while also providing employees with an intuitive knowledge sharing tool that is … Continue reading
A Case for Chatbots
“Welcome to our chat! You can ask me anything or request real human help any time. Ask me anything!” Whether you’re looking to buy a car, ordering pizza, or browsing research publications, the average internet experience tends to feature some … Continue reading