Content related to Transforming Content Operations in the Age of AI
Content Engineering to Improve AI Readiness for a Financial Institution’s Customer Service Center
A well-known financial institution faced challenges in providing frictionless, personalized service to customers due to widespread issues with knowledge base content. Due to outdated legacy systems, both agents and customers experienced difficulties finding and using content; similarly, internal content management teams struggled to maintain and update both agent-facing and customer-facing content … Continue reading
Semantic Layer Symposium 2025: Takeaways and Looking Ahead at Semantic Layers and AI
In October of this year, Enterprise Knowledge held our annual Semantic Layer Symposium (SLS) in Copenhagen, Denmark, bringing together industry thought leaders, data experts, and practitioners to explore the transformative potential, and reflect on the successful implementation, of semantic layers. … Continue reading
Knowledge Cast – Ole Olesen-Bagneux, Vice President & Chief Evangelist at Actian
Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Ole Olesen-Bagneux, Vice President & Chief Evangelist at Actian. He is a twice-published author with a BA, MA, and PhD in Library and Information Science from the University … Continue reading
Semantic Layer Symposium 2025: The Rising Importance of Information Science in the World of Semantic Layers and Knowledge Graphs
In October of this year, Enterprise Knowledge held our annual Semantic Layer Symposium (SLS) in Copenhagen, Denmark, bringing together industry thought leaders, data experts, and practitioners to explore the transformative potential, and reflect on the successful implementation, of semantic layers. … Continue reading
How to Leverage LLMs for Auto-tagging & Content Enrichment
When working with organizations on key data and knowledge management initiatives, we’ve often noticed that a roadblock is the lack of quality (relevant, meaningful, or up-to-date) existing content an organization has. Stakeholders may be excited to get started with advanced … Continue reading
Knowledge Cast – Michal Bachman, CEO of GraphAware
Enterprise Knowledge COO Joe Hilger speaks with Michal Bachman, CEO at GraphAware. GraphAware provides technology and expertise for mission-critical graph analytics, and its graph-powered intelligence analysis platform — Hume — is used by democratic government agencies (law enforcement, intelligence, cybersecurity, … Continue reading
Navigating the Retirement Cliff: Challenges and Strategies for Knowledge Capture and Succession Planning
As organizations prepare for workforce retirements, knowledge management should be a key element of any effective succession planning strategy, ensuring a culture of ongoing learning and stability. This piece explores the challenges organizations face in capturing and transferring critical knowledge, … Continue reading
Defining Governance and Operating Models for AI Readiness of Knowledge Assets
Artificial intelligence (AI) solutions continue to capture both the attention and the budgets of many organizations. As we have previously explained, a critical factor to the success of your organization’s AI initiatives is the readiness of your content, data, and … Continue reading
Semantic Layer Strategy: The Core Components You Need for Successfully Implementing a Semantic Layer
Today’s organizations are flooded with opportunities to apply AI and advanced data experiences, but many struggle with where to focus first. Leaders are asking questions like: “Which AI use cases will bring the most value? How can we connect siloed … Continue reading
Capture as You Work: Embedding Knowledge Capture in Daily Work
Knowledge capture is most effective when it is embedded as part of your daily work, not an occasional task. But we know that it is easier said than done. Enterprise Knowledge regularly hears from our clients that: “We don’t have … Continue reading