EK’s Joe Hilger, Lulit Tesfaye, Sara Nash, and Urmi Majumder to Speak at Data Summit 2025

Enterprise Knowledge’s Joe Hilger, Chief Operating Officer, and Sara Nash, Principal Consultant, will co-present a workshop, and Lulit Tesfaye, Partner and Vice President of Knowledge and Data Services, and Urmi Majumder, Principal Data Architect, will present a conference session at … Continue reading

Tesfaye and Majumder Speaking at EDW 2025

Enterprise Knowledge’s Lulit Tesfaye, Partner and Vice President of Knowledge and Data Services, and Urmi Majumder, Principal Data Architect, will deliver an in-depth tutorial on semantic layer architectures at the DGIQ West + EDW 2025 conference on May 5th. The … Continue reading

How a Semantic Layer Transforms Engineering Research Industry Challenges

To drive future innovation, research organizations increasingly seek to develop advanced platforms that enhance the findability and connectivity of their knowledge, data, and content–empowering more efficient and impactful R&D efforts. However, many face challenges due to decentralized information systems, where … Continue reading

The Minimum Requirements To Consider Something a Semantic Layer

Semantic Layers are an important design framework for connecting information across an organization in preparation for Enterprise AI and Knowledge Intelligence. But with every new technology and framework, interest in utilizing the technological advance outpaces experience in effective implementation. As … Continue reading

Enterprise AI Architecture Series: How to Extract Knowledge from Unstructured Content (Part 2)

Our CEO, Zach Wahl, recently noted in his annual KM trends blog for 2025 that Knowledge Management (KM) and Artificial Intelligence (AI) are really two sides of the same coin, detailing this idea further in his seminal blog introducing the … Continue reading

Enterprise AI Architecture Series: How to Build a Knowledge Intelligence Architecture (Part 1)

Since the launch of ChatGPT over two years ago, we have observed that our clients are increasingly drawn to the promise of AI. They also recognize that the large language models (LLMs), trained on public data sets, may not effectively … Continue reading

Enterprise AI Meets Access and Entitlement Challenges: A Framework for Securing Content and Data for AI

In today’s digital landscape, organizations face a critical challenge: how to leverage the power of Artificial Intelligence (AI) while ensuring their knowledge assets remain secure and accessible to the right people at the right time. As enterprise AI systems become … Continue reading

Data Management and Architecture Trends for 2025

Today, many organizational leaders are focused on AI readiness, and as the AI transformation is accelerating, so are the trends that define how businesses look for, store, secure, and leverage data and content.  The future of enterprise data management and … Continue reading