Data drives Artificial Intelligence - not the other way around. It is the foundation upon which AI systems are built and the fuel that determines how powerful, accurate, and innovative they can become. The phrase “Data for AI” captures this reality: without high-quality, strategic data, AI cannot function effectively. Developing a data architecture that prioritizes data at the core unlocks agility, insight, and competitive advantage in the era of intelligent automation.
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AI and REAL Enterprise Architecture
AI, driven by hype cycles, is disrupting and in many ways undermining the value of REAL (Realistic, Enabling, Actionable, Logical) Enterprise Architecture - turning a professional discipline into yet another fleeting trend much like previous waves of tool-centric or automation-driven approaches. Instead of enabling architectural vision, the rush to “AI everything” is exposing existing weaknesses and, for many organizations, acting as a costly distraction rather than a true solution.
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Why Real Enterprise Architects and Business Architects Ignore the AI Hype Machine
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 is not “AI-powered strategy” that drives transformation. It is strategy-powered architecture - built through proven Enterprise Architecture (EACOE) and Business Architecture (BACOE).
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Prompt Engineering or Prompt Manipulation - A Critical Look at How We Shape AI Responses
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.
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The Executive and CIO’s and Your Risks of Over-Reliance on AI in Enterprise Architecture
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.
R.E.A.L. - Realistic, Enabling, Actionable, Logical. Every day we hear jargon and see writing from so-called “experts,” and we don’t know what we should follow and what we should avoid. Published practices aren’t always best practices!
Listen to episodes from Sam Holcman’s radio show, webinars, and podcasts, Real Talk with Sam Holcman. Each episode gets to the bottom of what business executives, managers, practitioners, and staff actually need to create innovative solutions that deliver- no utopia required.
This business podcast provides practice-based insights into business transformation, enterprise architecture, business architecture, organizational transformation, and technology transformation based on real-world practices. We provide you with insights that can provide true value to organizations and individuals that face today’s and tomorrow’s competitive pressures and provide a usable takeaway from each program.
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