Category: Data-Framework

AI, Business Models, Data-Framework, Development, Frontier_AI

The Changing Architecture Of Coordination (reblog)

Colin Henderson

This series goes to the core of the problem with automation. The old expression “paving the cow path” springs to mind. The assumption that developers work is dissociated from Business Analysis is deeply flawed. The example of OpenAI agents hacking into Australia government’s sites is ho hum to the agent because programming doesn’t see any issue as it does its job. Worth following Franks site. ———————— Written by  Frank Diana in Our Emerging Future What the Industrial Organization Was Quietly Doing, and What Has to Replace It A three-part series CONTENTS Part One:   The Changing Economics of Coordination Part Two:   … Continue reading The Changing Architecture Of Coordination (reblog)

AI, AI_factories, Cybersecurity, Data-Framework, Infrastructure

Powering AI: Why Data Centers Are a Board-Level Risk

Colin Henderson

 Summarize ​ July 13, 2026 Artificial intelligence is driving one of the fastest infrastructure expansions in modern history. As companies race to scale computing power, a more complex challenge is emerging: Data centers are no longer just an IT backbone. They are becoming a critical source of enterprise risk. Once seen as back-office infrastructure, data centers sit at the heart of AI, which will become important to revenue, operations and customer experience. If a data center fails, the impact is immediate, from lost income and disrupted operations to reputational damage. For boards and senior executives, the issue is no longer … Continue reading Powering AI: Why Data Centers Are a Board-Level Risk

AI, Business Models, Cybersecurity, Data-Framework

Structure of High-Quality AI Prompts

Colin Henderson

From various online sources – refer sources below Effective AI prompting is foundational to maximizing business value from generative AI systems. The quality of a prompt directly determines the relevance, accuracy, and usefulness of the AI’s output. Below is a structured guide to constructing expert-level prompts, highlighting mandatory elements, discretionary enhancements, and common pitfalls to avoid. Mandatory Elements of a Good Prompt Clear Directive (Task): The core instruction specifying exactly what you want the AI to do. Use action verbs and avoid ambiguity (e.g., “Summarize this report in 100 words” or “List three cybersecurity threats facing banks in 2025”)[3][8]. Context: … Continue reading Structure of High-Quality AI Prompts

Data-Framework

4 Essential Steps to Enhance Your Organization’s Data Capabilities: A Roadmap for Success

Colin Henderson

Data sits at the core of any modern organization. It drives key decisions, shapes strategies, and ultimately determines success. Yet, for many companies, data remains underutilized, and its full potential untapped. Silos of information sit fragmented across departments and systems, critical insights lay buried, and opportunities are missed. It doesn’t need to be this way. With a data maturity assessment, a clear roadmap, and a commitment to building capabilities, any organization can transform how it leverages one of its most valuable assets – data. We’ve outlined a 4-step approach to enhance your data capabilities and maximize the business value of … Continue reading 4 Essential Steps to Enhance Your Organization’s Data Capabilities: A Roadmap for Success