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Affronta compiti di ragionamento complessi con Mistral Large su Amazon Bedrock
Mistral Large è ideale per attività complesse che richiedono capacità di ragionamento sostanziali o altamente specializzate, come la generazione di testo sintetico o la generazione di codice.
Report: AWS offre risparmi significativi sui costi quando le aziende passano dall'on-premises al cloud
Snap e Formula 1 sono due aziende che hanno tratto vantaggio dal passaggio al cloud AWS. Scopri perché hanno effettuato il passaggio e come sono riusciti a risparmiare sui costi.
Confronto tra Data lake e Data mesh: navigare nel futuro delle strategie organizzative relative ai dati
Scopri come una strategia data mesh può superare alcune limitazioni dei data lake centralizzati promuovendo un approccio alla gestione dei dati più distribuito, incentrato sull'uomo e specifico del contesto.
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Jason Hunter, 11/02/2025In this post we demonstrate how to enforce client-side timestamp-based write sequence order on Amazon DynamoDB. The goal is to ensure items with lower timestamps don’t overwrite items with higher timestamps, even if the requests are received out of order by the database.
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Marco Punio, Baladithya Balamurugan, Banu Nagasundaram, Deepak Rupakula, Harish Rao, Naman Nandan, 11/02/2025We are excited to announce that Meta’s Segment Anything Model (SAM) 2.1 vision segmentation model is publicly available through Amazon SageMaker JumpStart to deploy and run inference. Meta SAM 2.1 provides state-of-the-art video and image segmentation capabilities in a single model. In this post, we explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and deploy a wide range of pre-trained FMs for inference, including Meta’s most advanced and capable models to date.
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Niithiyn Vijeaswaran, Banu Nagasundaram, Marc Karp, Raghu Ramesha, 11/02/2025We are excited to announce that the Falcon 3 family of models from TII are available in Amazon SageMaker JumpStart. In this post, we explore how to deploy this model efficiently on Amazon SageMaker AI.
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Andy Rivers, Ves Sathya, 11/02/2025This post is part three of a four-part series that addresses how a Cloud Center of Excellence (CCoE) can be a viable solution to address the challenges of digital transformation. In this post, we address the three technical perspectives of the Amazon Web Services Cloud Adoption Framework (AWS CAF). While the business, organizational, and governance perspectives of the AWS CAF are crucial, the CCoE must also focus on the technical capabilities required to build and operate a cloud environment that meets the organization’s needs.
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Salman Ahmed, Ankush Goyal, Sergio Barraza, Ravi Kumar, 11/02/2025In this post, we present a streamlined approach to deploying an AI-powered agent by combining Amazon Bedrock Agents and a foundation model (FM). We guide you through the process of configuring the agent and implementing the specific logic required for the virtual meteorologist to provide accurate weather-related responses.
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Norm Johanson, 11/02/2025.NET Aspire is a new way of building cloud-ready applications. In particular, it provides an orchestration for local environments in which to run, connect, and debug the components of distributed applications. Those components can be .NET projects, databases, containers, or executables. .NET Aspire is designed to have integrations with common components used in distributed applications. [...]
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Alexandre Alves, 11/02/2025Generative AI is becoming a central component of success in nearly every industry. We have the unique opportunity to see how different businesses within Amazon are using generative AI to create transformative customer experiences—with nearly 1,000 generative AI applications in motion inside Amazon. This blog post is the first in a series that will explore [...]
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Albeda Siddique, Juan Carlos Sanchez, Nayef Khan, 11/02/2025CSPs face offer personalization challenges due to complex portfolios. Hansen’s AI-driven Offer Lifecycle Management solution, developed in the 2024 TM Forum Catalyst, empowers CSPs to analyze offers, rationalize catalogs, and enhance their OLM process using LLMs and Amazon Bedrock.
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Jussi Railakari, Anton Garvanko, Roy Yung, 11/02/2025In this post, we share how Wisso replaced an embedded reporting system in their client’s kitchen management application using QuickSight. With QuickSight, the client increased user adoption, saved on costs, and could implement new dashboards faster.
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Jonathan Jenkyn, Michael Tschannen, 11/02/2025Generative AI applications often involve a combination of various services and features—such as Amazon Bedrock and large language models (LLMs)—to generate content and to access potentially confidential data. This combination requires strong identity and access management controls and is special in the sense that those controls need to be applied on various levels. In this [...]