Content related to How Data Scientists Find Relevant Data with a Data Knowledge Graph
KM Fast Track to Search-Focused AI Solutions
In today’s rapidly evolving digital landscape, the ability to quickly locate and connect critical information is key to organizational success. As organizations struggle with ever-expanding datasets and information silos, the need for effective search-focused artificial intelligence (AI) solutions becomes vital. … Continue reading
Exploring Vector Search: Advantages and Disadvantages
The search for information is at the core of enhancing productivity and decision-making in the enterprise. In today’s digital age, searching for information has become more intuitive. With just a few clicks, we can explore vast knowledge and gain once-inaccessible … Continue reading
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
5 Steps For Building Your Enterprise Semantic Recommendation Engine
In today’s digital landscape, where content overload is a constant challenge, recommendation engines (also known as personalized content recommenders, or just “recommenders”) have emerged as powerful solutions that help users cut through the noise and discover relevant information. These intelligent … 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
Recommendation Engine Automatically Connecting Learning Content & Product Data
The EK Difference EK’s hallmark is rooted in the proficiency of advanced AI and knowledge graph technologies, as well as our profound commitment to client relationships. Working closely with the company’s content and data teams, EK displayed a robust understanding … Continue reading
What is A Data Fabric Architecture and What Are The Design Considerations?
Introduction In today’s data-driven world, effective data management is crucial for businesses to remain competitive. A modern approach to data management is the use of data fabric architecture. A data fabric is a data management solution that connects and manages … Continue reading
From Data to Knowledge… Strategy
At EK, we help organizations across multiple industries and geographic locations tackle a wide range of challenges in dealing with the data, information, and knowledge that supports their strategic goals. Data management teams within these organizations are rising to the … Continue reading
How a Knowledge Graph Can Accelerate Data Mesh Transformation
Despite a variety of powerful technical solutions designed to centrally manage enterprise data, organizations are still running into the same stubborn data issues. Bottlenecks in data registration, lack of ownership, inflexible models, out of date schemas and streams, and quality … Continue reading
Applied Knowledge Management Series: Addressing Challenges at Large Enterprises, Part 2
In this two-part blog series, I identify six common challenges experienced by Fortune 500 and multinational organizations and offer solutions to them, providing explanations, justifications, and use cases for each. In Part I, I discussed the importance of anticipating and … Continue reading