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67% of digital transformations delayed due to skill shortages

CIO

Businesses have always struggled with IT skills shortages, but the accelerating arrival of new technologies such as AI has widened the shortage gap even further, resulting in business delays, lower customer satisfaction, and loss of revenue, according to a recent report from research firm IDC.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process.

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Consider a global retail site operating across multiple regions and countries.

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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. That’s what we call an AI software engineering agent.

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. For example, consider a text summarization AI assistant intended for academic research and literature review. Consider, for instance, a customer service AI assistant handling a diverse range of inquiries.

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10 AI strategy questions every CIO must answer

CIO

What are we trying to accomplish, and is AI truly a fit? ChatGPT set off a burst of excitement when it came onto the scene in fall 2022, and with that excitement came a rush to implement not only generative AI but all kinds of intelligence. And the tech side of the house should push to make sure theres clarity on this.

Strategy 211