Case Study

Content related to Generative AI-Assisted Taxonomy Development for a Global Investment Bank

Driving Behavioral Change for Information Management through Data-Driven Green Strategy (EDW 2024)

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented “Driving Behavioral Change for Information Management through Data-Driven Green Strategy” on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida.  In … Continue reading

Webinar: Semantic Layer Technical Deep Dive

In this webinar, Enterprise Knowledge’s Sara Mae O’Brien-Scott moderates a conversation with Chris Marino, Urmi Majumder, and Heather Hedden as they take a deep dive in the the technical aspects of a Semantic Layer. The panelists explore the components that … Continue reading

IA Fast-Track to Search-Focused AI Solutions: Information Architecture Conference 2024

Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their … Continue reading

Webinar: Different Applications of a Semantic Layer Industry Panel

In this webinar, Enterprise Knowledge’s Lulit Tesfaye moderates a conversation with Malcolm Hawker, Polly Alexander, and Mohammed Aaser to discuss the role of Semantic Layers, what they are, and what value they offer organizations in the quickly changing world being … Continue reading

Designing IA for AI: Information Architecture Conference 2024

On April 12, Chris Marino and Guillermo Galdamez presented “Designing IA for AI” at IAC24.  With the explosive popularity of ChatGPT, organizations are throwing massive budgets and executive attention at the implementation of AI technologies. Making these solutions work for … Continue reading

Synergizing Knowledge Graphs with Large Language Models (LLMs): A Path to Semantically Enhanced Intelligence

Why do Large Language Models (LLMs) sometimes produce unexpected or inaccurate results, often referred to as ‘hallucinations’? What challenges do organizations face when attempting to align the capabilities of LLMs with their specific business contexts? These pressing questions underscore the … Continue reading