Content related to Semantic Layer Symposium – Tiankai Feng
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
The Role of Semantic Layers with LLMs
In today’s business landscape, Large Language Models (LLMs) are essential tools for driving innovation, streamlining operations, and unlocking new opportunities for growth. A Large Language Model, or LLM, is an advanced AI model designed to perform Natural Language Processing (NLP) … Continue reading
Generative AI for Taxonomy Creation
There is a growing awareness and appreciation for taxonomies as information and knowledge management tools. Taxonomies – structured sets of terms tagged to content – support search, information discovery, browse navigation, news alerts and feeds, content recommendation and personalization, content … 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
Crowd-Sourcing Data Governance
If you don’t remember The Little Red Hen, a chicken found grain and asked the other farm animals to help throughout the journey of processing that grain. The hen asked if they would plant the seeds, help with the harvest, … Continue reading
Overview of Taxonomies and Artificial Intelligence
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “An Overview of Taxonomies and AI” on January 30th, 2024, in the inaugural webinar of the “Artificial Intelligence webinar series: The promise and the perils,” hosted by the Knowledge & Information Management … Continue reading