Content related to Tesfaye and DeMay Speaking at Knowledge Summit Dublin 2025
Leveraging Institutional Knowledge to Enable Innovation
In Greek mythology, the character Sysiphus is condemned to spend eternity pushing a boulder up a hill, only for the boulder to roll back down as soon as he nears the top. When organizations lack capability to manage and preserve … Continue reading
Expertise Augmentation for Full Lifecycle AI/ML Operations
The current job market for these unique positions is dire, and delays in hiring can translate directly to delays in your projects. In-house skill gaps in AI technologies can be a formidable obstacle in your organization’s technical evolution, often blocking … Continue reading
AI Model Quality Assessment & Governance Framework
Many AI initiatives fail because there’s no plan for scale and maintenance. Has your organization already deployed AI/ML models and you’re looking for proven ways to maintain it? Working with some of the world’s largest and most complex organizations, EK … Continue reading
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
Using Knowledge Management to Minimize the Costs of Departing Leaders
Institutional knowledge loss can take many forms, but one of its most common instances occurs when long-standing leaders and experts decide to step down and leave the organization. Departures arise as individuals look for new opportunities, retire, or as a … 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
Cutting Through the Noise: An Introduction to RDF & LPG Graphs
Graph is good. From capturing business understanding to support standardization and data analytics to informing more accurate LLM results through Graph-RAG, knowledge graphs are an important component of how modern businesses translate data and content into actionable knowledge and information. … Continue reading