Content related to Webinar – Knowledge Capture and Knowledge Transfer in the Age of AI: Challenges and Solutions
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
How to Ensure Your Content is AI Ready
In 1996, Bill Gates declared “Content is King” because of its importance (and revenue generating potential) on the World Wide Web. Nearly 30 years later, content remains king, particularly when leveraged as a vital input for Enterprise AI. Having AI-ready … Continue reading
How to Ensure Your Data is AI Ready
Artificial intelligence has the potential to be a game-changer for organizations looking to empower their employees with data at every level. However, as business leaders look to initiate projects that incorporate data as part of their AI solutions, they frequently … Continue reading
How to Fill Your Knowledge Gaps to Ensure You’re AI-Ready
“If only our company knew what our company knows” has been a longstanding lament for leaders: organizations are prevented from mobilizing their knowledge and capabilities towards their strategic priorities. Similarly, being able to locate knowledge gaps in the organization, whether … Continue reading
Top Ways to Get Your Content and Data Ready for AI
As artificial intelligence has quickly moved from science fiction, to pervasive internet reality, and now to standard corporate solutions, we consistently get the question, “How do I ensure my organization’s content and data are ready for AI?” Pointing your organization’s … Continue reading
What is a KM Operating Model and Why You Need One
As organizations race to adopt AI, implement advanced analytics, or embed new knowledge management (KM) strategies into their ways of working, the way they capture, organize, and transform knowledge becomes the foundation for success. While many organizations invest heavily in … Continue reading
Using Knowledge Management to Prevent Bottlenecks and Disrupted Operations – A Case Study
The extent to which a company makes use of the collective insights and expertise that it accumulates over time—what we refer to as institutional knowledge—can significantly impact operational performance. When successfully captured and made easily accessible to employees (and to … Continue reading