Egeria Resource Explorer: Effective Exploration and the Survey Funnel
Survey first, catalog the worthy.
Data Preparation in the AI Journey (Part 2)
In my previous post, I outlined five key pillars: Scope, Compliance, Trustworthiness, Understandability, and Cost. While these pillars provide a design framework, moving an AI application from an interesting experiment to a production-grade tool is not a…
AI Application Development – Building with Context Intelligence
From Planning to Building In our last installment, we discussed project definition and the context and clarity it can provide. In this installment, we’re going to jump into the part that most techies hanker for—the…
Context Intelligence – Project Definition – Establishing the Foundation
In our previous blog, we introduced the AI Application Journey—a framework showing how business context flows through five connected phases. Project Definition is the first and perhaps most critical phase, establishing the foundation that guides…
Putting the Context into Context Engineering
Dan Wolfson Context engineering is one of the latest buzzwords across the AI community. The basic idea is to both improve the quality and manage the cost of a conversation with an LLM AI by…
Introducing Context Intelligence
Many hopes and dreams are being fueled by the wonders and hype of AI systems. Yet those of us that have been through these technology-hype cycles before recognize the inevitable. AI technologies will help in…
New Getting Started Recipe Posted
This week I posted Recipe 7: Synchronizing with the World in our series on Getting Started with Egeria. The main theme of the recipe is to demonstrate how Egeria can exchange information with other systems…
Databricks Partnership
It is a great pleasure to announce that PDR UK Ltd is now a Databricks partner. We firmly believe that this partnership brings benefits to both parties. Databricks, with their Lakehouse and analytics offerings, and…
The Business Value of Data Products
Peter Coldicott, February 3, 2023 Today, many organizations lack a thoughtful data cataloging strategy that prioritizes the needs of the consumers. The question is why is data being cataloged – is it due to a governance…
Tension & Innovation: A somewhat apocryphal tale of evolution in the management of data
From the invention of the abacus onwards, there has always been a tension between those that use computing and those that manage it. This has been a vital driving force in the innovation cycle of…