The Enterprise. Simplified. (Part 5)
Why AI Needs Enterprise Representation This is the final part, Part 5 of The Enterprise. Simplified. In Part 4, I covered how business capabilities operationalize the enterprise. One of the questions that have been asked most often over the past year is surprisingly simple. “Why does AI struggle so...
The Enterprise. Simplified. (Part 4)
Business Capabilities Operationalize the Enterprise This is Part 4 of The Enterprise. Simplified. In Part 3, I covered enterprise information as a business asset. In the previous article in this series, I suggested that an enterprise is fundamentally represented through business entities and the attributes that describe them. Customers,...
The Enterprise. Simplified. (Part 3)
Enterprise Information as a Business Asset This is Part 3 of The Enterprise. Simplified. In Part 2 , I covered the importance of separating business from implementation. One of the things I’ve noticed over the years is that every significant project seems to spend a surprising amount of time trying...
The Enterprise. Simplified. (Part 2)
Separating Business from Implementation This is Part 2 of The Enterprise. Simplified. In Part 1, I introduced the vision. One of the first questions I ask when meeting with an executive team is deceptively simple. “What are you trying to accomplish?” Sometimes I phrase it differently. “What are your...
The Enterprise. Simplified.
Enterprise Simplified explores a simple question: as AI becomes more capable, does the enterprise need to become more technologically complex to support it, or do we need to make the enterprise itself easier for people, applications, analytics, and AI to understand and use? This article is Part 1 of...
The “R” in RAG
Nowadays, the term “RAG” is fairly well understood. Or is it? Many know that it stands for retrieval augmented generation, but recently I’ve encountered some confusion around the “R” (retrieval) aspect of RAG. I think that much of that confusion stems from the idea that there is a fixed...
Data Management with the User Experience in Mind
These are exciting yet challenging times, especially in the data space. Generative AI (GenAI), with its challenges, brought hope in a new reality of what could become of our data. There is still some hard work ahead, but now we have a renewed idea that AI can bring astounding...
How Do You Know When You’re Ready for AI?
It’s an interesting question. After doing extensive research on AI readiness, I found myself trying to understand what the experts had to say on the matter. One surprising statistic from the Rand Corporation is that 80% of artificial intelligence (AI) projects fail. Similarly, a study from Deloitte shows that...