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AI is everywhere, but is it everything? And is finding the answer really the AI challenge for today?

Why creating a sensible architecture for the process of artificial intelligence adoption and implementation needs to be priority one

You’re part of the management team running a business in the confusing climate of 2023.

You’re dealing with a myriad of tough issues—inflation, shortage of qualified workers, lingering concerns about energy, supply chains, the banking sector, and even political instability as we approach another election cycle.

Then there’s the latest high-tech earthquake: Artificial Intelligence, or AI.

SENSIBLE ARCHITECTURE—BOOSTED BY EVALUATION—IS THE FOUNDATION
OF AI ADOPTION

> Download our think piece

The potential implications of AI are huge. It can dwarf your other concerns combined. Making it more difficult is the fact that stories about ChatGPT, Bard, Bing, other Large Language Models (LLMs), and AI are all over the place and range from negative to positive.

Sure, AI can summarize a financial report in the style of a Shakespearean sonnet. Admittedly clever, but is it useful?

And what about the New York Times article, written by a reporter who said MS Bing claimed to be in love with him? Or reports of AI hallucinations? Respectively, strange and scary.

The positive reports say this technology will change everything and do it almost overnight. Negative reports say it will wreck everything just as quickly. The common ground on both sides, whether positive or negative, is that AI is going to be disruptive. The question is, just how disruptive will AI be? Is it a panacea or a toy? An existential threat or the next big thing?

Like you, we at Garnet River are curious about the philosophical merits. But we’re more concerned with the practical:

For those who know us, that we’ve dedicated a lot of time to the issue isn’t a surprise. Nor is it a surprise that we have adopted an approach of Sensible Architecture.

Sensible architecture is the foundation of AI adoption. And here’s our think piece on it. We invite you to download it and get in touch with us to share your ideas, concerns, excitement, etc.

Abstract vector graphic depicting the AI challenge--human and machine intelligence
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Maximizing the value of AI requires that you let it explore. It needs to try things, try alternatives, crunch data, and innovate solutions.

Like humans, AI will fail. And as with humans, AI will learn from failure…if we create the sensible architecture for such learning.

Let’s talk about how to create the right architecture for your organization!

Abstract vector graphic depicting the AI challenge--human and machine intelligence

Maximizing the value of AI requires that you let it explore. It needs to try things, try alternatives, crunch data, and innovate solutions.

Like humans, AI will fail. And as with humans, AI will learn from failure…if we create the sensible architecture for such learning.

Let’s talk about how to create the right architecture for your organization!

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