AWS Blog

Breaking Through Bureaucracy: A Leader’s Guide to Establishing Your First Autonomous Team

Breaking Through Bureaucracy: A Leader’s Guide to Establishing Your First Autonomous Team

Traditional organizational operating models built for stability are hindering enterprise innovation and agility in rapidly changing markets, but implementing autonomous teams—starting with small, customer-facing initiatives led by empowered single-threaded leaders—can help organizations balance necessary control with the speed and adaptability required to remain competitive.

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Introducing Amazon Nova Sonic: Human-like voice conversations for generative AI applications

Introducing Amazon Nova Sonic: Human-like voice conversations for generative AI applications

Amazon Nova Sonic is a new foundation model on Amazon Bedrock that streamlines speech-enabled applications by offering unified speech recognition and generation capabilities, enabling natural conversations with contextual understanding while eliminating the need for multiple fragmented models.

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Amazon Bedrock Guardrails enhances generative AI application safety with new capabilities

Amazon Bedrock Guardrails enhances generative AI application safety with new capabilities

Amazon Bedrock Guardrails introduces enhanced capabilities to help enterprises implement responsible AI at scale, including multimodal toxicity detection, PII protection, IAM policy enforcement, selective policy application, and policy analysis features that customers like Grab, Remitly, and KONE are leveraging to standardize safeguards across generative AI applications.

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  • Accelerate your analytics with Amazon S3 Tables and Amazon SageMaker Lakehouse
    Sandeep Adwankar, Aditya Kalyanakrishnan, Srividya Parthasarathy, 04/17/2025
    Amazon SageMaker Lakehouse is a unified, open, and secure data lakehouse that now seamlessly integrates with Amazon S3 Tables, the first cloud object store with built-in Apache Iceberg support. In this post, we guide you how to use various analytics services using the integration of SageMaker Lakehouse with S3 Tables.
  • Announcing AWS Security Reference Architecture Code Examples for Generative AI
    Ievgeniia Ieromenko, Justin Kontny, Liam Schneider, 04/17/2025
    Amazon Web Services (AWS) is pleased to announce the release of new Security Reference Architecture (SRA) code examples for securing generative AI workloads. The examples include two comprehensive capabilities focusing on secure model inference and RAG implementations, covering a wide range of security best practices using AWS generative AI services. These new code examples are [...]
  • Add Zoom as a data accessor to your Amazon Q index
    David Girling, Chinmayee Rane, Sonali Sahu, 04/17/2025
    This post demonstrates how Zoom users can access their Amazon Q Business enterprise data directly within their Zoom interface, alleviating the need to switch between applications while maintaining enterprise security boundaries. Organizations can now configure Zoom as a data accessor in Amazon Q Business, enabling seamless integration between their Amazon Q index and Zoom AI Companion. This integration allows users to access their enterprise knowledge in a controlled manner directly within the Zoom platform.
  • How to help prevent hotlinking using referer checking, AWS WAF, and Amazon CloudFront
    Alex Smith, Sanchith Kandaka, 04/17/2025
    Note: This post was first published April 21, 2016. The updated version aligns with the latest version of AWS WAF (AWS WAF v2) and includes screenshots that reflect the changes in the AWS console experience. AWS WAF Classic has been deprecated and will be end-of-life (EOL) in September 2025. This update describes how to use [...]
  • The future of quality assurance: Shift-left testing with QyrusAI and Amazon Bedrock
    Ameet Deshpande, Vatsal Saglani, Siddan Korbu, 04/17/2025
    In this post, we explore how QyrusAI and Amazon Bedrock are revolutionizing shift-left testing, enabling teams to deliver better software faster. Amazon Bedrock is a fully managed service that allows businesses to build and scale generative AI applications using foundation models (FMs) from leading AI providers. It enables seamless integration with AWS services, offering customization, security, and scalability without managing infrastructure.
  • Automate video insights for contextual advertising using Amazon Bedrock Data Automation
    Alex Burkleaux, James Wu, 04/17/2025
    Amazon Bedrock Data Automation (BDA) is a new managed feature powered by FMs in Amazon Bedrock. BDA extracts structured outputs from unstructured content—including documents, images, video, and audio—while alleviating the need for complex custom workflows. In this post, we demonstrate how BDA automatically extracts rich video insights such as chapter segments and audio segments, detects text in scenes, and classifies Interactive Advertising Bureau (IAB) taxonomies, and then uses these insights to build a nonlinear ads solution to enhance contextual advertising effectiveness.
  • How Salesforce achieves high-performance model deployment with Amazon SageMaker AI
    Rielah De Jesus, Nitin Surya, Sai Guruju, Srikanta Prasad, 04/17/2025
    This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. The Salesforce AI Model Serving team is working to push the boundaries of natural language processing and AI capabilities for enterprise applications. Their key focus areas include optimizing large [...]
  • Build Production-Ready Generative AI Applications with Orkes and Amazon Bedrock
    Marina Novikova, Viren Baraiya, Shashi Raina, 04/17/2025
    In the rapidly evolving landscape of Generative AI (GenAI), Orkes Conductor emerges as a powerful orchestration platform that helps organizations manage complex workflows, integrate with AWS services, and implement essential safeguards for GenAI applications. The platform offers pre-built LLM tasks, robust error handling, and monitoring capabilities, enabling developers to create sophisticated AI workflows while providing enterprise features like RBAC, audit logs, and versioning for supported applications.
  • How the University of Johannesburg uses AI chatbots to increase student engagement and reduce costs
    Frances Wessels, Louis Fourie, 04/17/2025
    In this post, we discuss how the University of Johannesburg worked with CX/SIM, an AWS Partner, to develop an AI-powered service automation chatbot that increased student engagement and reduced costs.
  • Revolutionize Structural Biology Research With AWS
    Jacob Mevorach, Ben Eisenbraun, Christine Tsien Silvers, MD, PhD, Jason Key, PhD, Marissa E. Powers, PhD, Piotr Sliz, PhD, 04/17/2025
    Tiny microscopic differences that we could never dream of seeing with our eyes can make the difference between a cutting edge therapeutic and a lethal poison. In the not too distant past it would have been impossible to imagine the treatments we have access to today and the broad range of conditions we can target [...]
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