Blog Archives
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
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
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
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
Beyond Content Management for Real Knowledge Sharing
Enterprise Knowledge’s Urmi Majumder and Maryam Nozari presented “AI-Based Access Management: Ensuring Real-time Data and Knowledge Control” on November 21 at KMWorld in Washington, D.C. In this presentation, Majumder and Nozari explored the crucial role of AI in enhancing data … Continue reading
Modern Methods for Managing Data Security
Enterprise Knowledge’s Joe Hilger, COO, and Ian Thompson, Technical Solutions Consultant, presented “Modern Methods for Managing Data Security” at CDOIQ in Boston, MA on Wednesday, July 17, 2024. In this presentation, Hilger and Thompson explored the evolving challenges of securing … Continue reading