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Vxceed builds the perfect sales pitch for sales teams at scale using Amazon Bedrock

This post was co-written with Cyril Ovely from Vxceed. Consumer packaged goods (CPG) companies face a critical challenge in emerging economies: how to effectively retain revenue and grow customer loyalty at scale. Although these companies invest 15–20% of their revenue in trade promotions and retailer loyalty programs, the uptake of these programs has historically remained …

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Want to get building production-ready AI agents? Here’s where startups should start.

Startups are using agentic AI to automate complex workflows, create novel user experiences, and solve business problems that were once considered technically impossible. Still, charting the optimal path forward — especially with the integration of AI agents — often presents significant technical complexity To help startups navigate this new landscape, we’re launching our Startup technical …

Stable Diffusion Models are Secretly Good at Visual In-Context Learning

Large language models (LLM) in natural language processing (NLP) have demonstrated great potential for in-context learning (ICL) — the ability to leverage a few sets of example prompts to adapt to various tasks without having to explicitly update the model weights. ICL has recently been explored for computer vision tasks with promising early outcomes. These …

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Automate Amazon QuickSight data stories creation with agentic AI using Amazon Nova Act

Amazon QuickSight data stories support global customers by transforming complex data into interactive narratives for faster decisions. However, manual creation of multiple daily data stories consumes significant time and resources, delaying critical decisions and preventing teams from focusing on valuable analysis. Each organization has multiple business units, and each business unit creates and operates multiple …

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Responsible AI: How PowerSchool safeguards millions of students with AI-powered content filtering using Amazon SageMaker AI

This post is cowritten with Gayathri Rengarajan and Harshit Kumar Nyati from PowerSchool. PowerSchool is a leading provider of cloud-based software for K-12 education, serving over 60 million students in more than 90 countries and over 18,000 customers, including more than 90 of the top 100 districts by student enrollment in the United States. When …

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More choice, more control: self-deploy proprietary models in your VPC with Vertex AI

Building the best AI applications requires both the freedom to choose the most powerful, specialized model for the task at hand, and a platform that can handle them all. This flexibility is core to the Vertex AI platform, and today, we’re taking a significant step forward in our commitment to giving you unparalleled choice and …

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Unlock global AI inference scalability using new global cross-Region inference on Amazon Bedrock with Anthropic’s Claude Sonnet 4.5

Organizations are increasingly integrating generative AI capabilities into their applications to enhance customer experiences, streamline operations, and drive innovation. As generative AI workloads continue to grow in scale and importance, organizations face new challenges in maintaining consistent performance, reliability, and availability of their AI-powered applications. Customers are looking to scale their AI inference workloads across …

Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library

Many data science teams rely on Apache Spark running on Dataproc managed clusters for powerful, large-scale data preparation. As these teams look to connect their data pipelines directly to machine learning models, there’s a clear opportunity to simplify the integration. But running inference on a Spark DataFrame using a model from Vertex AI typically requires …

TASER: Translation Assessment via Systematic Evaluation and Reasoning

We introduce TASER (Translation Assessment via Systematic Evaluation and Reasoning), a metric that uses Large Reasoning Models (LRMs) for automated translation quality assessment. TASER harnesses the explicit reasoning capabilities of LRMs to conduct systematic, step-by-step evaluation of translation quality. We evaluate TASER on the WMT24 Metrics Shared Task across both reference-based and reference-free scenarios, demonstrating …