What Opportunities or Problems is AI Trying to Address?
The hype around Artificial Intelligence (AI) continues to accelerate. Billions are being spent in industry, by investors, and by you and I. Beyond FOMO (Feal Of Missing Out), where is all of this going?
This Broadcast provides some valuable insight and questions you need to ask, as you take this rollercoaster ride. Fasten your seat belt and be sure you also have a tight harness.
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Understanding Both Sides of AI's Use in Enterprise Architecture
The adoption of Artificial Intelligence (AI) to develop Enterprise Architectures (EA) is attempting to transform the field, but it comes at a cost: a noticeable decline in traditional EA competency and growing skepticism among stakeholders as to the worth of Enterprise Architecture. Contemporary Enterprise Architects expertise is no longer just a nice-to-have - it is a strategic imperative for any organization seeking to thrive in an AI-driven world.
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Enterprise Architecture’s Gobbledygook
This is a post from Peter Kinev that I will be embellishing a bit. Somehow, over time, Enterprise Architecture has developed a language of its own. A language that seems more designed to deflect than to inform. I think it is time we change the narrative.
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The Power of Architecture: Shaping Progress from the Industrial Revolution to Enterprise Transformation
This historical synergy between engineering and manufacturing int the industrial age offers a powerful analogy for understanding the complementary relationship between EACOE Architecture Models and EACOE Implementation Models for Enterprise Architecture, in the EACOE methodology for Enterprise Architecture (EA). Just as the collaboration between engineers and manufacturers powered the Industrial Revolution, the partnership between EACOE architecture models and EACOE implementation models is crucial for successful enterprise transformation. One without the other is incomplete: architecture without implementation remains theoretical, while implementation without architecture risks inefficiency and misalignment.
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Success with AI starts with quality data – any questions?
This somewhat extended broadcast of Real Talk brings forward the fundamental truth facing success use of AI – most organizations data is not at all ready for use in AI (or for that matter, decision making outside of AI). You will hear a bit of sarcasm in my voice, and at the end, yes a commercial on how to actually build a quality data environment. Wishing it were not true, will not make it so.
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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