Apertus, Switzerland's Open-Source AI, Now Global on AWS SageMaker

Last week, Switzerland marked a major milestone in 🇨🇭 AI innovation with the release of Apertus, a family of open-source, large language models developed by ETH, EPFL and CSCS. We're excited to announce that AWS is making Apertus available to customers through Amazon SageMaker JumpStart. Check out the blog post to launch Apertus in your private AWS environment. Starting today, Apertus is available in the AWS Zurich region and globally, enabling organizations to experiment, learn and scale with the Swiss AI technology 🚀. #AI #Apertus #AWS #Innovation Stefano Christoph Jan Diana Peter Milan Nicolas Arlind Malte Philipp

🇨🇭 Apertus, Switzerland's Open-Source AI Revolution, Now Available Globally on AWS SageMaker JumpStart Congratulations to ETH Zurich, EPFL, and CSCS on the release of Apertus - Switzerland's first fully open, multilingual large language model family. Today, we are announcing that Apertus is accessible worldwide through Amazon SageMaker JumpStart, making it easier than ever to harness powerful AI capabilities for your business needs. This cooperation brings Swiss AI innovation directly to your cloud infrastructure: Organizations around the world can deploy Apertus with single-click simplicity directly in their private and secure AWS environments, empowering them to experiment, learn, and scale their AI solutions with confidence. Ready to get started? Explore Apertus on AWS today. 👉 Find all details on our blog post: https://lnkd.in/dqc45nDM #AWSSwitzerland #AI #MachineLearning #SwissAI #Apertus #SageMaker #OpenSource #Innovation Martin Jaggi Mauricio Moncada Imanol Schlag Nicolas Jourdan Malte R. Arlind Nocaj Christian Keller Stefano Mallè

AWS Bedrock or Azure OpenAI , which should enterprise buyers choose? Generative AI has become a boardroom priority in 2025. But for many enterprises, the decision isn’t whether to use GenAI—it’s which platform to build on. Do you prioritise model diversity and AWS ecosystem integration with Amazon Bedrock? Or do you value GPT-4/4o consistency and Microsoft’s enterprise compliance with Azure OpenAI? In our latest blog, we break down: ✅ AWS’s broader AI portfolio (Bedrock, Q, Lex, CodeWhisperer) ✅ Azure OpenAI’s model lineup and enterprise features ✅ Security, pricing and integration trade-offs ✅ Practical guidance for buyers evaluating their AI strategy Whether you’re scaling innovation, navigating compliance, or trying to forecast costs, this blog helps cut through the complexity so you can make an informed decision. 👉 Read the full breakdown here: https://lnkd.in/gH5r8YhP #GenerativeAI #AWS #Azure #CloudComputing #EnterpriseAI #Oreta

NEW! OpenAI open weight models now available in AWS Stockholm and AWS Dublin -regions on Amazon Bedrock. OpenAI gpt-oss-120b and gpt-oss-20b models are designed for text generation and reasoning tasks. They excel at coding, scientific analysis, and mathematical reasoning, with performance comparable to leading alternatives. Both models support a 128K context window and provide adjustable reasoning levels (low/medium/high) to match your specific use case requirements. AWS is committed to bringing you the most advanced foundation models in the industry, continuously expanding our selection to include groundbreaking models from leading AI innovators so that you always have access to the latest advancements to drive your business forward. With Amazon Bedrock, AWS gives you the freedom to innovate with access to hundreds of FMs from leading AI companies, including OpenAI open weight models. With our comprehensive selection of models, you can match your AI workloads to the perfect model every time. https://lnkd.in/djGQ4UTY

Top 15 AWS Machine Learning Tools in the Cloud https://lnkd.in/gjuChn2e Business leaders face a new frontier: scaling #AI and #ML to deliver predictive power, real time insights, and customer first innovation. AWS equips enterprises with a portfolio of #machinelearningservices designed to accelerate adoption and impact. Highlights from the Top 15 AWS ML Tools: •  SageMaker – full lifecycle model build, train, and deploy •  Comprehend – natural language insights from unstructured data •  Rekognition – advanced image and video analysis •  Personalize – real time recommendation engines •  Fraud Detector – AI driven fraud prevention at scale •  Polly and Transcribe – speech to text, text to speech for voice innovation and more These tools redefine how enterprises approach automation, personalization, and security, removing barriers to #MLadoption while exploring new business value. Explore our expert breakdown: https://lnkd.in/gjuChn2e Enterprises are leveraging #AWS ML to innovate faster and compete strongly. Ready to engineer your AI advantage? Let’s Connect: https://lnkd.in/gznJYx6Z #MLServices #MLops #MlopsServices #MlConsultingservices #Mlopsconsultingservices #MLTools #MLopsTools #ITconsultingservices

AWS ML: Tools That Deliver Enterprise Advantage From SageMaker to Rekognition and Fraud Detector, AWS equips leaders with the platforms to operationalize AI for scale, speed, and measurable ROI. At Veritis, we align these capabilities to strategy so AI becomes a true competitive edge.

I just read this.. Build trustworthy AI agents with Amazon Bedrock AgentCore Observability Exciting news for the AI community! Our latest blog post explores how to build trustworthy AI agents using Amazon Bedrock AgentCore Observability. This informative piece delves into the key strategies and tools you can leverage to enhance the reliability and transparency of your AI solutions. Gain insights on implementing observability practices that ensure your AI agents operate efficiently, meet user expectations, and maintain ethical standards. Read the full blog post here: https://lnkd.in/dQtqwyVz #AWS

This is the big drop for Futuriom -- The Enterprise AI Index. I write a lot about the supply side of AI, but what about real enterprise demand? Mary Jander, Juliet Raynovich and the team have been assembling a relational database of enterprise AI use cases. It's searchable and dynamic (i.e. still being added to). We build the database for our own edification, and now it's available to you. Have a look! Scott Raynovich David Williams Jeff Geddes #EnterpriseAIIndex #CloudTrackerPro

This article explores how Large Language Models (LLMs) are transforming FinOps by: 🔹Detecting cost anomalies in real time 🔹Improving forecasting accuracy for smarter budgeting 🔹Streamlining cost allocation with better tagging and categorization 🔹Delivering actionable insights for proactive cost optimization 🔗 Read the full article here: https://lnkd.in/drnMHAip #FinOps #AWS #CostOptimization #AI #MachineLearning #CloudComputing #CloudThat #CloudThatConsulting

Building trustworthy AI agents at scale with AWS 📈 AI agents are moving fast from lab experiments to enterprise workloads. They don’t just answer questions - they make decisions, invoke tools, and influence outcomes. That power also creates an accountability gap. Amazon's Bedrock AgentCore Observability is the maturity in AWS AI that enterprises have been waiting for. Why? Because observability can’t be an afterthought. With AI agents, you need transparency from day one: -End-to-end traceability of interactions -Visibility into reasoning, tool use, and latency -Standardized telemetry (OpenTelemetry) that plugs into existing monitoring stacks -Dashboards that make debugging and compliance straightforward This shifts the conversation from “Can we build an AI agent?” to “Can we trust it in production?” For CTOs, that’s the real unlock: reducing debugging time, lowering incident rates, and building AI systems that are reliable by design. Observability isn’t a feature. It’s the foundation for enterprise-grade AI. 👉 Full AWS blog here: https://lnkd.in/g3Dbcb6x