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Tech Transforms podcast: How one federal agency is embracing AI to support and empower its cyber workforce

Dynatrace

Is artificial intelligence (AI) here to steal government employees’ jobs? Furthermore, AI can significantly boost productivity if employees are properly trained on how to use the technology correctly. “It’s It’s great to put new technology on the table,” said Johnson. Download now!

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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates. and Canada involved with observability, IT service management, and IT automation technologies offers insight into the current status and future of AI in IT operations.

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Cloud observability delivers on business value

Dynatrace

According to data cited by McConnell, Amazon Web Services, Microsoft Azure, and Google Cloud Platform grew in the last quarter, ending in June [2023] and jointly delivered almost $50 billion. Hypermodal AI combines three forms of artificial intelligence: predictive AI, causal AI, and generative AI. Cloud modernization.

Cloud 223
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ChatGPT, Author of The Quixote

O'Reilly

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI. They are dream machines.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. To address these issues, organizations that want to digitally transform are adopting cloud observability technology as a best practice. What is AIOps?

AWS 229
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To understand the risks posed by AI, follow the money

O'Reilly

It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. We ought to heed Collingridge’s warning that technology evolves in uncertain ways. It’s also about ensuring that value from AI is widely shared by preventing premature consolidation.

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Copyright, AI, and Provenance

O'Reilly

Another group of cases involving text (typically novels and novelists) argue that using copyrighted texts as part of the training data for a Large Language Model (LLM) is itself copyright infringement, 1 even if the model never reproduces those texts as part of its output. What should copyright law mean in the age of artificial intelligence?