Content related to Overview of Taxonomies and Artificial Intelligence
Improve Enterprise AI with Semantic Content Management
In my article, How to Prepare Content for AI, I introduced some basic steps to help you prime your organization’s content for an effective AI implementation: two of those steps – structuring and componentizing – are often misunderstood or skipped … Continue reading
Hybrid Approaches to Green Information Management: A Case Study
Today, enterprises have more tools than ever for creating and sharing information, which leads to significant challenges in managing duplicate content. Enterprise Knowledge’s Urmi Majumder, Principal Consultant, and Nina Spoelker, Consultant, presented “Hybrid Approaches to Green Information Management: A Case … Continue reading
Consulting from Within: Best Practices for the Solo Taxonomist
On November 19th, 2024, Bonnie Griffin, Taxonomy Consultant, delivered a presentation titled “Consulting from Within: Best Practices for the Solo Taxonomist” at the 2024 edition of Taxonomy Bootcamp in Washington, DC. Griffin shared best practices to help solo taxonomists introduce … Continue reading
Semantic Layer Symposium – Tiankai Feng
Earlier this year, the Semantic Layer Symposium in Munich brought together industry leaders, data scientists, and Knowledge Management (KM) experts to explore cutting-edge developments in data integration and AI-driven insights. This groundbreaking event fostered lively discussions on the future of … Continue reading
From Artificial Intelligence to Knowledge Intelligence
Much of the dialogue in our industry has been dominated by Artificial Intelligence (AI) and what that means to the fields of Knowledge Management, Data Management, and Content Management. At EK, we’ve been witnessing firsthand the impact of the “AI … Continue reading
Semantic Layer Symposium – Malcolm Hawker
Earlier this year, the Semantic Layer Symposium in Munich brought together industry leaders, data scientists, and Knowledge Management (KM) experts to explore cutting-edge developments in data integration and AI-driven insights. This groundbreaking event fostered lively discussions on the future of … Continue reading
Semantic Layer Symposium – Daniel Canter
Earlier this year, the Semantic Layer Symposium in Munich brought together industry leaders, data scientists, and Knowledge Management (KM) experts to explore cutting-edge developments in data integration and AI-driven insights. This groundbreaking event fostered lively discussions on the future of … Continue reading
Choosing the Right Approach: LLMs vs. Traditional Machine Learning for Text Summarization
In an era where natural language processing (NLP) tools are becoming increasingly sophisticated and accessible, many look to automate text-related processes such as recognition, summarization, and generation to save crucial time and effort. Currently, both machine learning (ML) models and … Continue reading
How to Inject Organizational Knowledge in AI: 3 Proven Strategies to Achieve Knowledge Intelligence
Generative AI (GenAI) has made Artificial Intelligence (AI) more accessible to the business, specifically by empowering organizations to leverage large language models (LLMs) for a wide range of applications. From enhancing customer support to automating content creation and operational processes, … Continue reading
Getting Control of Your Content: AI Solutions to Streamline and Optimize Your Digital Assets
Paula Land, Principal Consultant for Content Strategy and Operations and Elliott Risch, Semantic AI Consultant, presented a LavaCon pre-conference webinar on the topic of AI-assisted content analysis titled Getting Control of Your Content: AI Solutions to Streamline and Optimize Your … Continue reading