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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 »

Amazon Bedrock provides a broad range of high-performing foundation models from Amazon and other leading AI companies, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, searching, chat, reasoning and acting agents, and more. The new Amazon Titan Image Generator model allows content …

Use Amazon Titan models for image generation, editing, and searching Read More »

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Their popularity stems from the ability to respond to customer inquiries in real time and handle multiple queries simultaneously in different languages. Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly …

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock Read More »

Gemini 1.5 Pro brings big improvements to speed and efficiency, but one of its innovations is its long context window, which measures how many tokens that the model can …

Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. Code Llama is a state-of-the-art large language model (LLM) capable of generating code and natural language about code from both code and natural language prompts. …

Code Llama 70B is now available in Amazon SageMaker JumpStart Read More »