Blog Archives
Harnessing Institutional Knowledge to Enhance Employee Learning
Institutional knowledge loss erodes an organization’s effectiveness by neglecting critical collective wisdom and work previously produced by others. It is a challenge that is cumulative in its effect. The more time that goes by where an organization fails to protect … Continue reading
Leveraging Institutional Knowledge to Enable Innovation
In Greek mythology, the character Sysiphus is condemned to spend eternity pushing a boulder up a hill, only for the boulder to roll back down as soon as he nears the top. When organizations lack capability to manage and preserve … Continue reading
Using Knowledge Management to Minimize the Costs of Departing Leaders
Institutional knowledge loss can take many forms, but one of its most common instances occurs when long-standing leaders and experts decide to step down and leave the organization. Departures arise as individuals look for new opportunities, retire, or as a … Continue reading
Unlocking Knowledge Intelligence from Unstructured Data
Introduction Organizations generate, source, and consume vast amounts of unstructured data every day, including emails, reports, research documents, technical documentation, marketing materials, learning content and customer interactions. However, this wealth of information often remains hidden and siloed, making it challenging … Continue reading
Enterprise AI Architecture Series: How to Inject Business Context into Structured Data using a Semantic Layer (Part 3)
Introduction AI has attracted significant attention in recent years, prompting me to explore enterprise AI architectures through a multi-part blog series this year. Part 1 of this series introduced the key technical components required for implementing an enterprise AI architecture. … Continue reading
Entitlements Within a Semantic Layer Framework: Benefits of Determining User Roles Within a Data Governance Framework
The importance of data governance grows as the number of users with permission to access, create, or edit content and data within organizational ecosystems faces cumulative upkeep. An organization may have a plan for data governance and may have software … Continue reading
Leveraging Institutional Knowledge to Improve AI Success
In an age where organizations are seeking competitive advantages from new technologies, having high-quality knowledge readily available for use by both humans and AI solutions is an imperative. Organizations are making large investments in deploying AI. However, many are … Continue reading
Understanding the Role of Knowledge Intelligence in the CRISP-DM Framework: A Guide for Data Science Projects
In today’s rapidly advancing field of data science, where new technologies and methods continuously emerge, it’s essential to have a structured approach to navigate the complexities of data mining and analysis. The CRISP-DM framework–short for Cross-Industry Standard Process for Data … Continue reading
What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications
Over 80% of enterprise data remains unstructured, and with the rise of artificial intelligence (AI), traditional relational databases are becoming less effective at capturing the richness of organizational knowledge assets, institutional knowledge, and interconnected data. In modern enterprise data solutions, … Continue reading
Incorporating Unified Entitlements in a Knowledge Portal
Recently, we have had a great deal of success developing a certain breed of application for our customers—Knowledge Portals. These knowledge-centric applications holistically connect an organization’s information—its data, content, people and knowledge—from disparate source systems. These portals provide a “single … Continue reading