In my first post on Data Readiness, I introduced the notion of a Data Readiness activity to provide the AI development team with the political power to make the resources (typically data and subject matter…
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…
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…
Organizations are investing heavily in AI—deploying the latest LLMs, implementing sophisticated RAG systems, building agents with MCP tools. Yet a surprising number of AI projects struggle to reach production or fail outright. The issue is…
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…
December, 2025 Dear clients, partners, and friends, As we reach the end of 2025, our fourth year of operations, it is once again time to reflect on our achievements and learning over the past year,…
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…
by Peter Coldicott Trustworthy (less-biased) AI starts with strong Data Governance. Artificial Intelligence (AI) systems are in the news a lot right now, and apart from the many articles put forward by the builders of…