AI is everywhere - on every page, in every boardroom pitch, and across every trend report. But as any seasoned leader and practitioners know, what creates lasting competitive edge is not the technology buzzword of the moment. It is having an operating model that empowers smart choices, no matter what tool is in play.

In this broadcast, I want to challenge the status quo: It it not “AI-powered strategy” that drives transformation. It it strategy-powered architecture - built through proven Enterprise Architecture (EACOE) and Business Architecture (BACOE).

The term “prompt engineering” has become popular in recent years to describe the process of carefully designing inputs - known as prompts - for large language models (LLMs). The phrase suggests that prompting is a deliberate, technical process similar to real engineering disciplines such as civil engineering, electrical engineering, or software engineering. Yet, when examined more closely, “engineering” may not be the most accurate word.

Recent advancements in Artificial Intelligence (AI) have been touted to result in dramatic increases in productivity and consistency throughout Enterprise Architecture practices. However, our experience with our clients demonstrates that excessive dependence on AI-driven support - particularly for critical decisions - can bring significant risks to business operations and strategic integrity.

Enterprise Architectures and Business Architectures often suffer from a common problem: the outputs produced by architecture teams may be technically accurate, possibly methodologically sound, and rigorously documented - yet they remain unusable for the decision-makers, stakeholders, and business leaders who most depend on them. This issue, known as Human Consume-ability, highlights the gap between creating models and architectures, and delivering insights that can be readily understood, trusted, and acted upon across organizational boundaries.

AI - Artificial Intelligence. OI - Origional Intelligence. While AI can excel at processing vast amounts of data and identifying patterns, Original Intelligence allows humans to recognize when solutions need to deviate from established norms or when data is incomplete or misleading. Learn more in this Broadcast

There is always a lot that we can learn from successful technology and software developments. There is also a lot we can learn, unfortunately, from technology and software development “failures”. In analyzing over twenty well documented and publicized failures, one fundamental issue came through loud and clear. A major mismatch between the enterprise data representations and processes, and the vendor’s data representations and processes. There is a pretty straightforward way to address this situation.

Yes, anything you say to AI can be used against you, including things that you thought were deleted. Yes, hitting the delete button or key really does not do anything. Let me translate. Public facing AI and associated models are “dangerous”. EAI – (Enterprise Augmented Information) – AI within the boundary of your Enterprise is the answer. Please listen. And we can help.

What is the oil that makes the artificial intelligence world run? Data. Data infrastructure is the key to moving away from guessing to true usefulness. Data infrastructure is made up of two parts – the actual technology, and the data itself. Billions are being spent on the technological side. The data itself is being starved. Why? Because it is hard. We will describe the five transformations needed to make data AI ready.