Blog

Amazon Rekognition makes it easy to add image and video analysis to your applications. It’s based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. It requires no machine learning (ML) expertise to use and we’re continually adding new computer vision …

Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation Read More »

This is a guest post co-authored by Shravan Kumar and Avirat S from Gramener. Gramener, a Straive company, contributes to sustainable development by focusing on agriculture, forestry, water management, and renewable energy. By providing authorities with the tools and insights they need to make informed decisions about environmental and social impact, Gramener is playing a …

Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities Read More »

Organizations of all sizes are recognizing that using AI fuels the kind of innovation that’s needed to maintain a competitive edge. What’s often less clear is how to prepare your organization to be able to take full advantage of AI. For organizations running business-critical workloads on Windows Servers and SQL Server, how do you get …

Get ready for AI at the Migrate to Innovate digital event Read More »

I’ve met with customers and partners from around the world over the past few months and almost every one of them mentioned the same thing: how fast AI innovation is happening—much faster than the pace of change many are used to. While most see the transformative potential AI poses for their organization, many feel the …

What’s new in Azure Data, AI, and Digital Applications: Helping you navigate the fast pace of change Read More »

With a multitude of articles, videos, audio recordings, and other media created daily across news media companies, readers of all types—individual consumers, corporate subscribers, and more—often find it difficult to find news content that is most relevant to them. Delivering personalized news and experiences to readers can help solve this problem, and create more engaging …

Build a news recommender application with Amazon Personalize Read More »

This is a guest post co-written with Tamir Rubinsky and Aviad Aranias from Nielsen Sports. Nielsen Sports shapes the world’s media and content as a global leader in audience insights, data, and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence …

Nielsen Sports sees 75% cost reduction in video analysis with Amazon SageMaker multi-model endpoints Read More »

Today we are announcing significant changes to Azure AI Search in support for customers building production ready generative AI applications. Azure AI Search has drastically increased storage capacity and vector index size at no additional cost, so customers can run retrieval augmented generation (RAG) at any scale, without having to compromise cost or performance.  In …

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications Read More »

Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. SageMaker Studio provides all the tools you need to take your models from data preparation to experimentation to production while boosting your productivity. Amazon SageMaker Canvas is a powerful …

Seamlessly transition between no-code and code-first machine learning with Amazon SageMaker Canvas and Amazon SageMaker Studio Read More »

As the pace of AI and the transformation it enables across industries continues to accelerate, Microsoft is committed to building and enhancing our global cloud infrastructure to meet the needs from customers and developers with faster, more performant, and more efficient compute and AI solutions. Azure AI infrastructure comprises technology from industry leaders as well …

Azure Maia for the era of AI: From silicon to software to systems Read More »

The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. This enhances the overall user experience, helping customers find exactly what …

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless Read More »