Content related to Why am I Mr. SPARQL?
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 »
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 »
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 »
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 »
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 »
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 »
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 organization by engaging in a prototype or pilot. Conducting … Continue reading »
As a complement to our enterprise search engagements with clients, we often end up exploring how the implementation of a knowledge graph can establish the foundation for more advanced KM and data efforts, such as smart search or AI capabilities … 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 »