Enterprise LLM Accelerator

Many organizations are looking for a reliable way to experiment with and understand the applications of generative AI such as ChatGPT and Copilot. These tools, built using complex ML components like LLMs and neural networks, offer a lot of promise … Continue reading

Tool Selection & Solutions Framework Development

We recognize that navigating the myriad of technology options and AI models available for enterprise-wide AI initiatives can be challenging. As a vendor-agnostic consultancy, we partner with and integrate a wide range of tools and AI solutions on the market. … Continue reading

AI Readiness Assessment, Benchmarking & Strategy

Many organizations are looking for a tailored framework to get started in their AI journey and help them prioritize potential projects based on relative effort and estimated return. EK’s Strategy approach consists of five core factors that are within the … Continue reading

Initiative-Specific AI Model Starter-Kit

There is no single AI solution that works in every situation, especially when considering the constraints of real-life problems, data types, and organizational diversity. We developed our Initiative-Specific AI Model Starter-Kit based on the experience and lessons learned from supporting … Continue reading

Why Your Taxonomy Needs SKOS 

Taxonomies are a valuable tool for capturing semantic context, but their full value can only be realized when they’re represented in a standardized format. This infographic introduces SKOS (Simple Knowledge Organization System) and demonstrates how your organization’s taxonomies can reach their full potential. Continue reading

Women’s Health Foundation – Semantic Classification POC

A humanitarian foundation focusing on women’s health faced a complex problem: determining the highest impact decision points in contraception adoption for specific markets and demographics. Two strategic objectives drove the initiative—first, understanding the multifaceted factors (from product attributes to social influences) that guide women’s contraceptive choices, and second, identifying actionable insights from disparate data sources. The key challenge was integrating internal survey response data with internal investment documents to answer nuanced competency questions such as, “What are the most frequently cited factors when considering a contraceptive method?” and “Which factors most strongly influence adoption or rejection?” This required a system that could not only ingest and organize heterogeneous data but also enable executives to visualize and act upon insights derived from complex cross-document analyses. Continue reading

Humanitarian Foundation – SemanticRAG POC

A humanitarian foundation needed to demonstrate the ability of its Graph Retrieval Augmented Generation (GRAG) system to answer complex, cross-source questions. In particular, the task was to evaluate the impact of foundation investments on strategic goals by synthesizing information from publicly available domain data, internal investment documents, and internal investment data. The challenge laid in …. Continue reading