Favorite Organizations are increasingly seeking to enhance customer experiences through natural, responsive voice interactions across their telephony systems. Amazon Nova Sonic addresses this need as a speech-to-speech generative AI model that delivers real-time voice conversations with low latency and natural turn-taking. It understands speech across different accents and speaking styles,
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Shared by AWS Machine Learning November 26, 2025
Favorite This post is co-written with Bob Boiko, Christopher Donnellan, and Sarat Tatavarthi from Condé Nast. For over a century, Condé Nast has stood at the forefront of global media, shaping culture and conversation through its prestigious portfolio of brands. Founded in 1909, the company has evolved from a traditional
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Shared by AWS Machine Learning November 26, 2025
Favorite As enterprises rapidly adopt AI agents to automate workflows and enhance productivity, they face a critical scaling challenge: managing secure access to thousands of tools across their organization. Modern AI deployments no longer involve a handful of agents calling a few APIs—instead, enterprises are building unified AI platforms where
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Shared by AWS Machine Learning November 26, 2025
Favorite Sundar Pichai sits down with Logan Kilpatrick to discuss Gemini 3 on the Google AI: Release Notes podcast. View Original Source (blog.google/technology/ai/) Here.
Favorite Generative AI has created unprecedented opportunities for Canadian organizations to transform their operations and customer experiences. We are excited to announce that customers in Canada can now access advanced foundation models including Anthropic’s Claude Sonnet 4.5 and Claude Haiku 4.5 on Amazon Bedrock through cross-Region inference (CRIS). This post
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Shared by AWS Machine Learning November 25, 2025
Favorite We are excited to announce the general availability of GPU partitioning with Amazon SageMaker HyperPod, using NVIDIA Multi-Instance GPU (MIG). With this capability you can run multiple tasks concurrently on a single GPU, minimizing wasted compute and memory resources that result from dedicating entire hardware (for example, entire GPUs) to tasks
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Shared by AWS Machine Learning November 25, 2025
Favorite In our previous post, Transforming the physical world with AI: the next frontier in intelligent automation, we explored how the field of physical AI is redefining a wide range of industries including construction, manufacturing, healthcare, and agriculture. Now, we turn our attention to the complete development lifecycle behind this technology
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Shared by AWS Machine Learning November 25, 2025
Favorite This post is written by Nukul Sharma, Machine Learning Engineering Manager, and Karthik Dasani, Staff Machine Learning Engineer, at Warner Bros. Discovery. Warner Bros. Discovery (WBD) is a leading global media and entertainment company that creates and distributes the world’s most differentiated and complete portfolio of content and brands
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Shared by AWS Machine Learning November 25, 2025
Favorite In 2025, generative AI has evolved from text generation to multi-modal use cases ranging from audio transcription and translation to voice agents that require real-time data streaming. Today’s applications demand something more: continuous, real-time dialogue between users and models—the ability for data to flow both ways, simultaneously, over a
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Shared by AWS Machine Learning November 25, 2025
Favorite Artificial Intelligence (AI) is changing how businesses operate. Gartner® predicts at least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028. And 92% of companies are boosting their AI spending, according to McKinsey. But here’s the problem: most companies are yet to realize a
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Shared by AWS Machine Learning November 25, 2025
Shared by AWS Machine Learning November 26, 2025
