Content related to Industry Panel: Different Applications of a Semantic Layer — Takeaways Blog
Integrated Change Management
Integrated Change Management addresses the complexities of modifying behavior, impacting culture, and realizing ROI while building internal capacity to manage change. It places your people at the center of the process to make change real, and ensure it sticks. EK … 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
Change Management: If It’s Not Integrated, It’s Not Going to Work
Series Introduction Effective change management requires the ultimate war-room strategy. You must win over the hearts and minds of the people and ensure those hearts and minds lead to hands doing things in the new way for the long run. … 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
How to Build a Knowledge Graph in Four Steps: The Roadmap From Metadata to AI
The scale and speed at which data and information are being generated today makes it challenging for organizations to effectively capture valuable insights from massive amounts of information and diverse sources. We rely on Google, Amazon, Alexa, and other chatbots … Continue reading