Five Ways to Demonstrate the Value of KM [In the Age of AI]

Knowledge management (KM) is steadily growing beyond its traditional role of providing the framework for sharing, using, and managing the knowledge and information of an organization: it now also serves as the foundation for advancements in Artificial Intelligence (AI).  We … Continue reading

Why Invest in a Knowledge Graph? Your Digital Transformation and Enterprise AI Initiatives Depend on It

The scope and success for digital transformations and advanced enterprise solutions is driven by a few factors, namely, defined use cases, available data, and people and SMEs. For many organizations, the biggest hurdle is knowing where to start. Starting with … Continue reading

Translating AI from Concept to Reality: Five Keys to Implementing AI for Knowledge, Content, and Data

Lulit Tesfaye, a Partner and Director for Enterprise Knowledge’s Data and Information Management Division, presented on April 07, 2022 at the data.world Spring Virtual Summit 2022 on the topic of Translating AI from Concept to Reality: Five Keys to Implementing … 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

How Do I Update and Scale My Knowledge Graph?

Enterprise Knowledge Graph Governance Best Practices Successfully building, implementing, and scaling an enterprise knowledge graph is a serious undertaking. Those who have been successful at it would emphasize that it takes a clear definition of need (use cases), an appetite … Continue reading