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Tech Transforms podcast: The path forward for AI in the government

Dynatrace

The artificial intelligence (AI) age has arrived and the public sector is steadily moving forward with AI advancements. Discover the best practices for developing an ideal AIOps strategy in your agency in the free ebook: Harnessing AIOPs for seamless services in agency operations Read now! ” 1 Within the U.S.

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AI Has an Uber Problem

O'Reilly

As Bill Janeway noted in his critique of the capital-fueled bubbles that resulted from the ultra-low interest rates of the decade following the 2007–2009 financial crisis, “ capital is not a strategy.” Google raised only $36 million in venture capital on its way to dominance. Venture capitalists don’t have a crystal ball.

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Generative AI in the Enterprise

O'Reilly

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises?

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The OpenAI Endgame

O'Reilly

I suspect that OpenAI would have difficulty going higher, even given Microsoft’s investments—and, whatever else you may think of this strategy—OpenAI has to think about the total cost. That’s not unexpected, given my guess that his strategy is built around minimizing competition. Those companies can afford it.

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Structural Evolutions in Data

O'Reilly

Between Google (Vertex AI and Colab) and Amazon (SageMaker), you can now get all of the GPU power your credit card can handle. Google goes a step further in offering compute instances with its specialized TPU hardware. Not that you’ll even need GPU access all that often.