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Tech Transforms podcast: A reporter’s take on AI, data privacy, ChatGPT, and TikTok

Dynatrace

In a special two-episode podcast, Krishan shares his thoughts on artificial intelligence (AI), specifically around two wildly popular, yet extremely contentious apps: ChatGPT and TikTok. The mobile video platform has dramatically surged in popularity since its launch in September 2017. Are TikTok and ChatGPT trustworthy?

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AI Has an Uber Problem

O'Reilly

Google raised only $36 million in venture capital on its way to dominance. In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. This is a classic example of what Janeway calls a “ productive bubble.” But those investments demand commensurately large returns.

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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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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. Services scale to meet demand.

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Structural Evolutions in Data

O'Reilly

And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. Between Google (Vertex AI and Colab) and Amazon (SageMaker), you can now get all of the GPU power your credit card can handle. The solution led us to the next structural evolution.