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How the world can tackle the power demands of artificial intelligence

CIO

The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. New technologies, such as generative AI, need huge amounts of processing power that will put electricity grids under tremendous stress and raise sustainability questions.

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Gartner projects major IT spending increases for 2025

CIO

growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. This spending on AI infrastructure may be confusing to investors, who won’t see a direct line to increased sales because much of the hyperscaler AI investment will focus on internal uses, he says.

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AI and generative AI are revolutionizing manufacturing…here’s how

CIO

Now, manufacturing is facing one of the most exciting, unmatched, and daunting transformations in its history due to artificial intelligence (AI) and generative AI (GenAI). Manufacturers are attaining significant advancements in productivity, quality, and effectiveness with early use cases of AI and GenAI.

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Should finance organizations bank on Generative AI?

CIO

As I work with financial services and banking organizations around the world, one thing is clear: AI and generative AI are hot topics of conversation. Financial organizations want to capture generative AI’s tremendous potential while mitigating its risks. In short, yes. But it’s an evolution. billion by 2032.

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Map an AI strategy that’s yours, not SAP’s

CIO

As enthusiasm for AI and generative AI mounts, creating a winning AI strategy to help reduce operating costs and increase efficiency is easily topping the priority list for IT executives. There’s little question businesses are ready to reap the rewards of AI. in the same timeframe. in the same timeframe.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Adherence to responsible and ethical AI practices were a priority for Principal.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.