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
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
EK’s David Hughes Interviewed on The Data Exchange Podcast by Gradient Flow
David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge (EK), was recently interviewed by Ben Lorica on Gradient Flow’s The Data Exchange podcast to discuss “How BAML Transforms AI Development.” The Data Exchange is an independent podcast series focused … 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 turning … 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
David Hughes Speaking at AI in Production by MLOps Community
David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge, will be presenting “Multimodal Integration with Associative Intelligence” at MLOps Community’s AI in Production virtual conference on Wednesday, March 12th. The conference will cover everything from managing AI costs, … Continue reading
AI & Taxonomy: the Good and the Bad
The recent popularity of new machine learning (ML) and artificial intelligence (AI) applications has disrupted a great deal of traditional data and knowledge management understanding and tooling. At EK, we have worked with a number of clients who have questions–how … Continue reading
From Enterprise GenAI to Knowledge Intelligence: How to Take LLMs from Child’s Play to the Enterprise
In today’s world, it would almost be an understatement to say that every organization wants to utilize generative AI (GenAI) in some part of their business processes. However, key decision-makers are often unclear on what these technologies can do for … Continue reading
Aligning an Enterprise-Wide Information Management (IM) Roadmap for a Global Energy Company
A global energy company sought support in detailing and aligning their information management (IM) team’s roadmaps for all four of their IM products – covering all managed applications, services, projects, and capabilities – to help them reach their target state vision of higher levels of productivity, more informed decision-making, and quality information made available to … Continue reading
Data Governance for Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) has emerged as a powerful approach for injecting organizational knowledge into enterprise AI systems. By combining the capabilities of large language models (LLMs) with access to relevant, up-to-date organizational information, RAG enables AI solutions to deliver context-aware, accurate, … Continue reading