Blog Archives

AI-Augmented Content Analysis to Remediate Duplicate Content

A global energy company with operations in over 60 countries began actively working to reduce their carbon emissions to achieve Net Zero by 2050. Enterprise Knowledge (EK) evaluated and refined their strategic roadmaps, which yielded a plethora of new initiatives that built on their existing efforts. 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

Unlocking Dark Data: AI Strategies for Enhanced Data Governance

Wondering how to safeguard your data and mitigate accidental leaks? Dive into our infographic to discover EK’s approach, which incorporates data crawling, pattern matching, and the strategic use of AI and ML models, designed to secure your data and prevent … Continue reading

Breaking Down Enterprise AI, Part I: Insight Track

2023 was an incredibly exciting year for artificial intelligence. Several technology trends – distributed computing, transformer models, and large repositories of data – converged to produce powerful generative AI products like ChatGPT and Midjourney. These products have helped generate excitement … Continue reading

How to Prepare Content for AI

Artificial Intelligence (AI) enables organizations to leverage and manage their content in exciting new ways, from chatbots and content summarization to auto-tagging and personalization. Most organizations have a copious amount of content and are looking to use AI to improve … Continue reading

Generative AI-Assisted Taxonomy Development for a Global Investment Bank

The Challenge A multinational financial institution with a century-long legacy, celebrated for pioneering financial solutions and shaping the global economic landscape, relied on unstructured data for risk management. With a vast array of risks to consider, and a wealth of … Continue reading