Content related to What is a Large Language Model (LLM)?
Knowledge Graph Accelerator for Data Standardization and Environmental Social Governance (ESG)
The Challenge A global management consulting firm needed to establish a standardized, central platform for consultants to see insights on environmental impacts associated with supply chain processes. Historically, this information was stored in disparate locations, often hidden within departmental documents … Continue reading
Content Personalization with Knowledge Graphs in Python
In a recent blog post, my colleague Joe Hilger described how a knowledge graph can be used in conjunction with a componentized content management system (CCMS) to provide personalized content to customers. This post will show the example data from … Continue reading
Improving Product Documentation With a CCMS and a Knowledge Graph
The Challenge A financial solutions provider wanted to improve and personalize customer interaction with support and technical documentation as well as streamline the content authoring process to ensure consistent messaging and avoid duplicated information. Before the EK team’s involvement, technical … Continue reading
Expert Analysis: Does My Organization Need a Graph Database?
As EK works with our clients to integrate knowledge graphs into their technical ecosystems, client stakeholders often ask, “Why should we leverage knowledge graphs?” and more specifically, “Do we need a graph database?” Our consultants then collaborate with stakeholders to … Continue reading
Data Management Trends in 2022: Data Fabric v. Data Mesh v. DataOps? What is Right for Your Organization?
When we start most of our engagements with our clients, there are common and important challenges we’re typically presented with that help summarize the core needs that persist within the data management space today: We don’t know what data we … 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
Employee 360 Views: Common Use Cases
In an earlier blog, I discussed what Employee 360 Views are and which possible sources of information can feed them. In this blog, I describe why Employee 360 Views are important from various end users’ perspectives, what employee information they … Continue reading
Employee 360 Views: What are they?
Leaders from every organization need accurate and up-to-date information about their employees to support key corporate decisions, enhance business profitability, and remain competitive in today’s world. One of the best ways to better understand your employees is through an Employee … Continue reading
360-view of a Consumer: Deduplicating and Constructing Consumer Data using an Identity Graph
The Challenge For the last 30 years, a large global digital marketing and technology firm has been collecting consumer data on adults in the United States from hundreds of primary sources to build consumer marketing databases. Because data comes from … Continue reading
AI Beyond a Prototype
How to take an AI Project Beyond a Prototype Before going “all in,” we often advise our clients to first understand and quickly validate the value proposition for adopting advanced Artificial Intelligence (AI) and Machine learning (ML) solutions within their … Continue reading