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Content related to Inside the Unified Entitlements Architecture

How to Design Taxonomies that Reflect Organizational Differences, For Humans and AI

One of the key steps to prepare your content and data for AI is developing taxonomies that identify, organize, and define the terms used in the organization in order to better structure and contextualize knowledge assets for use in AI … Continue reading

LLM Solutions PoC to Production: From RAGs to Riches (Part 1)

In the past year, many of the organizations EK has partnered with have been developing Large Language Model (LLM) based Proof-of-Concepts (PoCs). These projects are often pushed for by an enthusiastic IT Team, or internal initiative – with the low … Continue reading

Entitlements Within a Semantic Layer Framework: Benefits of Determining User Roles Within a Data Governance Framework

The importance of data governance grows as the number of users with permission to access, create, or edit content and data within organizational ecosystems faces cumulative upkeep. An organization may have a plan for data governance and may have software … 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