Content related to Translating AI from Concept to Reality: Five Keys to Implementing AI for Knowledge, Content, and Data
Semantic LLM Accelerator
With the right context, Large Language Models (LLMs) can be a powerful tool to accelerate enterprise digital transformations. Knowledge graphs provide that enterprise context, giving organizations the ability to understand and trust LLMs to take advantage of their powerful applications. … Continue reading
How a Knowledge Graph Supports AI: Technical Considerations
In 2023, ChatGPT’s explosive popularity made Artificial Intelligence (AI) language models a household name. In essence, these models are a key component of natural language processing (NLP), a field of AI, focused on enabling computers to understand and generate human … Continue reading
Five Ways to Demonstrate the Value of KM [In the Age of AI]
Knowledge management (KM) is steadily growing beyond its traditional role of providing the framework for sharing, using, and managing the knowledge and information of an organization: it now also serves as the foundation for advancements in Artificial Intelligence (AI). We … Continue reading
Beyond AI Prototypes
How to take an AI Project Beyond a Prototype Before going “all in,” we often advise our clients to first understand and quickly validate the value proposition for adopting advanced Artificial Intelligence (AI) and Machine learning (ML) solutions within their … Continue reading
Knowledge AI: Content Recommender and Chatbot Powered by Auto-Tagging and an Enterprise Knowledge Graph
The Challenge A global development bank needed a better way to disseminate information and in-house expertise to all of their staff to support the efficient completion of projects, while also providing employees with an intuitive knowledge sharing tool that is … Continue reading
Enterprise AI Readiness Assessment
Understand your organization’s priority areas before committing resources to mature your information and data management solutions. Enterprise Knowledge’s AI Readiness Assessment considers your organization’s business and technical ecosystem, and identifies specific priority and gap areas to help you make
targeted investments and gain tangible value from your data and information. Continue reading
Enterprise AI Trends in 2020
Enterprise Artificial Intelligence (AI) entails leveraging machine capabilities to discover and deliver organizational knowledge and information in a way that closely aligns with how users look for and process information. The number of Enterprise AI applications is rapidly growing. Previously, … Continue reading
Project Cortex: At the Intersection of Microsoft 365 and Artificial Intelligence (AI)
Almost every major technology company around the globe is dedicating resources to develop some form of Artificial Intelligence (AI) capabilities to help organizations accelerate access to critical information, support faster decision making, optimize customer support processes, recommend content, and help … Continue reading
Webinar: Enterprise AI Readiness
Presented by Joe Hilger, COO, and Lulit Tesfaye, Data and Information Management Practice Lead, on Wednesday, April 15th. This webinar featured first-hand experience from cutting edge global organizations that have already put Enterprise AI into production by harnessing knowledge graphs, … Continue reading
KM Showcase 2020: Leveraging KM as the Foundation for AI
This presentation from Joe Hilger, Founder and COO of Enterprise Knowledge was presented at the KM Showcase 2020 in Arlington, VA on March 5th. The presentation addresses why knowledge management (KM) is the foundation for successful artificial intelligence (AI). Hilger … Continue reading