The Top 3 Ways to Implement a Semantic Layer
Over the last decade, we have seen some of the most exciting innovations emerge within the enterprise knowledge and data management spaces. Those innovations with real staying power have proven to drive business outcomes and prioritize intuitive user engagement. Within … Continue reading
What is a Semantic Layer? (Components and Enterprise Applications)
Over the last decade, many organizations went through expensive migrations – either moving data into a data lake, a data warehouse, a modern data stack, or to the cloud. Yet, the business problems that many are looking to solve through … Continue reading
Case Studies: Applications of Data Governance in the Enterprise
Thomas Mitrevski, Senior Data Management and Governance Consultant and Lulit Tesfaye, Partner and Vice President of Knowledge and Data Services presented “Case Studies: Applications of Data Governance in the Enterprise” on December 6th, 2023 at DGIQ in Washington D.C. In … Continue reading
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
Top Graph Use Cases and Enterprise Applications (with Real World Examples)
Graph solutions have gained momentum due to their wide-ranging applications across multiple industries. Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the … Continue reading
Knowledge Graph Use Cases are Priceless
At Knowledge Graph Forum 2022, Lulit Tesfaye, Partner and Division Director, and Sara Nash, Senior Consultant, presented on the importance of establishing valuable and actionable use cases for knowledge graph efforts. The talk was on September 29, 2022 in New … Continue reading
The Five Priorities for Every Data Strategy Today
Earlier this year, I shared the top trends we are seeing when it comes to solving enterprise data management problems. We continue to deploy and put these emerging solutions to the test (read more on that from our case studies) … 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