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Mistral Large ora su Amazon Bedrock

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. 

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Ottimizzazione dei costi
Immagine del post in evidenza sul risparmio sui costi

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.

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Dati e analisi
Immagine in evidenza del blog Confronto tra Data lake e Data mesh

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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  • Join us at FinOps X 2025: your guide to all things AWS
    Bowen Wang, 21/05/2025
    We’re excited to engage with the FinOps community at FinOps X 2025 in San Diego, June 2-5. If you’re looking to spend quality time with the AWS team, here’s where you can find us from reception parties on Monday evening, keynote, breakout sessions, booth, and customer meetings. Can’t wait to see you all soon!
  • How to configure a Linked Server between Amazon RDS for SQL Server and Teradata database
    Julio Oliveira Leme, Pradip Kishore Das, 21/05/2025
    In this post, we demonstrate how to configure a linked server between Amazon RDS for SQL Server and a Teradata database instance. We guide you through the step-by-step process to establish this connection and show you how to verify its functionality.
  • Centralize visibility of Kubernetes clusters across AWS Regions and accounts with EKS Dashboard
    Micah Walter, 21/05/2025
    EKS Dashboard provides cloud architects and cluster administrators with a centralized view to monitor and govern Kubernetes clusters across multiple AWS Regions and accounts, offering insights into clusters, managed node groups, and EKS add-ons through a unified interface in the AWS Console.
  • Integrate Amazon Bedrock Agents with Slack
    Salman Ahmed, Ankush Goyal, Sergio Barraza, Ravi Kumar, 21/05/2025
    In this post, we present a solution to incorporate Amazon Bedrock Agents in your Slack workspace. We guide you through configuring a Slack workspace, deploying integration components in Amazon Web Services, and using this solution.
  • Amazon Q Developer CLI supports image inputs in your terminal
    Keerthi Sreenivas Konjety, 21/05/2025
    In this post I will explore how the image support feature in Amazon Q Developer Command Line Interface (CLI) transforms development workflows. Q Developer CLI recently added image support, expanding its capabilities to process visual information and enhancing developer productivity. This new feature allows developers to interact with diagrams, architecture blueprints, and other visual assets directly [...]
  • Streamline Amazon QuickSight dataset management: Dataset insights at a glance
    Neeraj Kumar, Salim Khan, Siriguppa Venkat Sai, 21/05/2025
    This post offers a solution for monitoring and analyzing QuickSight datasets by providing valuable insights for efficient QuickSight usage and maintenance using a custom QuickSight dashboard. The solution provides a comprehensive view of SPICE ingestion status and type, SPICE usage metrics along with total capacity limit for the account, dataset relationships with dashboards, analyses, and linked data sources along with dataset query mode.
  • Genentech reimagines insights from unstructured data using generative Artificial Intelligence
    Subrat Das, Anuj Gupta, Maniz Shrestha, Santosh Sastry, Srinivasa Namburu, 21/05/2025
    The Commercial, Medical, and Government Affairs (CMG) team of Genentech, a member of the Roche Group, partners across the healthcare system to deliver better health outcomes and equitable access for patients. This team was looking to leverage rich unstructured data at scale, across various formats/modalities such as text, PDFs, PowerPoint slides, images, videos, and audio [...]
  • Accelerating Product Engineering with Teamcenter Simulation on AWS
    Chandan Murthy, Vedanth Srinivasan, Wouter Dehandschutter, PhD, 21/05/2025
    In today’s fast paced competitive manufacturing landscape, organizations continue to increase the adoption of virtual engineering workflows such as engineering simulations to accelerate and optimize their product development process. With growing demand for complex design studies to evaluate key performance indicators such as performance, cost, reliability, manufacturability and assembly, Simulation Process and Data Management (SPDM) [...]
  • Contribute content to AWS using NDI with AWS Elemental MediaConnect
    Michael Henry, 21/05/2025
    The secure and reliable Ingest of live video content to the Amazon Web Services (AWS) Cloud over NDI® (Network Device Interface) has previously been a challenge for our customers. With the addition of NDI outputs in AWS Elemental MediaConnect (MediaConnect), you can now directly ingest live video to AWS and convert it to NDI for [...]
  • University of British Columbia Cloud Innovation Centre: Prototyping generative AI solutions using AWS
    Christian Castro, Scott McMillan, 21/05/2025
    The University of British Columbia (UBC) Cloud Innovation Centre (CIC) has become a hub for innovation by prototyping generative AI applications in collaboration with public sector sponsors. This post highlights how the UBC CIC uses AWS to accelerate generative AI development, sharing lessons learned, tools used, and actionable insights you can apply to your projects.
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