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AI’s growing influence in large organizations brings crucial challenges in managing AI platforms. These include developing a scalable and operationally efficient platform that adheres to organizational compliance and security standards. Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. These include a fully managed AI development environment …

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation Read More »

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL. The solution in this post aims to …

Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources Read More »

This is a guest post written by Axfood AB.  In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. Axfood is Sweden’s second largest food retailer, …

How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker Read More »

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. However, as these models continue to grow in size and complexity, monitoring their performance and behavior has become increasingly challenging. Monitoring the performance and behavior of LLMs is a critical task …

Techniques and approaches for monitoring large language models on AWS Read More »

In this article Modernize networks with a hybrid carrier-grade platform and AI-powered automation and insightsAI-enabled insights for operatorsModern mobile packet coreSecurity and compliance for telecom workloadsMonetize 5G investments and enhance customer experiences with modern connected applicationsAnnouncing Azure Operator Call Protection in public previewExpanding partner ecosystem for modern connected applicationsGet started todayInvitation to operators, system integrators, …

Modernizing and monetizing telecom networks with AI-powered Azure for Operators Read More »

New improvements and AI-powered features are coming to Performance Max, including Gemini models for text generation.

Welcome to the new era, where AI is driving innovation and rapidly changing what applications look like, how they’re designed and built, and how they’re delivered. Businesses in nearly every industry are racing to apply AI in their products and operations to better engage customers, increase productivity, and gain a competitive edge. Most companies are …

Explore cutting-edge AI solutions with Microsoft at NVIDIA GTC Read More »

Gemma is a family of lightweight, state-of-the art open models built from the same research and technology used to create the Gemini models.

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. It makes globalization easier for the world’s best content creators. Trusted by the biggest names in entertainment, ZOO Digital delivers high-quality localization and media services at scale, including dubbing, subtitling, scripting, and compliance. Typical …

Streamline diarization using AI as an assistive technology: ZOO Digital’s story Read More »

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single endpoint. Previously, MMEs pre-determinedly allocated CPU computing power to models statically regardless the model traffic load, using Multi Model Server (MMS) as its model server. In this post, we discuss a …

Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints Read More »