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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.
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.
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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Hamdy Eed, 04/18/2025In this blog post, you will discover how Concierto MIGRATE address the challenges faced by organizations in migrating legacy workloads to the cloud. You learn in detail about Concierto, a comprehensive migration solution that not only facilitates seamless and accelerated migration of workloads to cloud in bulk, but also simplifies the process by eliminating the barriers that often stall cloud transitions.
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Dan Ferguson, Steven DeVries, Haleh Najafzadeh, Jeff Ruhnow, 04/17/2025We are delighted to introduce the new AWS Well-Architected Generative AI Lens. Use the lens to make sure that your generative AI workloads are architected with operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability in mind.
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Sandeep Adwankar, Aditya Kalyanakrishnan, Srividya Parthasarathy, 04/17/2025Amazon 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.
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Ievgeniia Ieromenko, Justin Kontny, Liam Schneider, 04/17/2025Amazon 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 [...]
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David Girling, Chinmayee Rane, Sonali Sahu, 04/17/2025This 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.
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Alex Smith, Sanchith Kandaka, 04/17/2025Note: 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 [...]
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Ameet Deshpande, Vatsal Saglani, Siddan Korbu, 04/17/2025In 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.
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Alex Burkleaux, James Wu, 04/17/2025Amazon 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.
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Rielah De Jesus, Nitin Surya, Sai Guruju, Srikanta Prasad, 04/17/2025This 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 [...]
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Marina Novikova, Viren Baraiya, Shashi Raina, 04/17/2025In 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.