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CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO

After being in cloud and leveraging it better, we are able to manage compute and storage better ourselves,” said the CIO, who notes that vendors are not cutting costs on licenses or capacity but are offering more guidance and tools. He went with cloud provider Wasabi for those storage needs. “We

Strategy 211
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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning - AI

Together, we are poised to transform the landscape of AI-driven technology and create unprecedented value for our clients. Yasmine Rodriguez, CTO of Asure. This step is shown by business analysts interacting with QuickSight in the storage and visualization step through natural language.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

The raw photos are stored in Amazon Simple Storage Service (Amazon S3). Aurora MySQL serves as the primary relational data storage solution for tracking and recording media file upload sessions and their accompanying metadata. S3, in turn, provides efficient, scalable, and secure storage for the media file objects themselves.

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Build RAG-based generative AI applications in AWS using Amazon FSx for NetApp ONTAP with Amazon Bedrock

AWS Machine Learning - AI

Event-driven compute with AWS Lambda is a good fit for compute-intensive, on-demand tasks such as document embedding and flexible large language model (LLM) orchestration, and Amazon API Gateway provides an API interface that allows for pluggable frontends and event-driven invocation of the LLMs.

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Fundamentals of Data Engineering

Xebia

The authors divide the data engineer lifecycle into five stages: Generation Storage Ingestion Transformation Serving Data The field is moving up the value chain, incorporating traditional enterprise practices like data management and cost optimization and new practices like DataOps. Plan for Failure Everything fails, all the time.

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How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock

AWS Machine Learning - AI

The digital publishing frontend application Storm is a single-page application built using React and Material Design and deployed using Amazon Simple Storage Service (Amazon S3) and Amazon CloudFront. Our CMS backend Nova is implemented using Amazon API Gateway and several AWS Lambda functions.

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eSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker

AWS Machine Learning - AI

eSentire has over 2 TB of signal data stored in their Amazon Simple Storage Service (Amazon S3) data lake. This system uses AWS Lambda and Amazon DynamoDB to orchestrate a series of LLM invocations. A foundation model (FM) is an LLM that has undergone unsupervised pre-training on a corpus of text.