Category: Artificial Intelligence

Healthcare educators and innovators can take an idea from concept to a working prototype, deployed on AWS, in a single day, without a dedicated software engineering team. At a hands-on workshop at the University of St. Gallen (HSG), five teams of students, start-up founders, and industry experts used Kiro, an agentic AI-powered integrated development environment […]

When a policyholder submits an insurance claim, they want one thing: a fast resolution. Every extra day between filing and payout erodes trust. For Simpego, a digital-first Swiss insurer, that urgency shaped a clear engineering goal: to remove every unnecessary delay from the claims pipeline. Simpego identified the primary bottleneck that was causing these delays: […]

At LEGIC Identsystems, security is not a feature of the product – it is the product. For over 30 years, LEGIC has built secure contactless authentication, access management, and IoT solutions for customers who depend on that trust. When LEGIC decided to bring generative AI into its engineering workflows, LEGIC faced a challenge familiar to […]

Earlier this year, the GenAI Zürich Award 2026 put out a call for generative AI projects across Switzerland and Europe. The response was striking. Nearly 70 submissions arrived – from five-person startups to organizations with tens of thousands of employees, spanning healthcare, insurance, agriculture, manufacturing, education, and public services. Three award tracks — Impact Achievers, […]

AI agents powered by large language models (LLMs) are reshaping enterprise software by turning complex tasks into conversational experiences. Instead of requiring deep expertise, users can now interact with systems in natural language and get immediate, actionable answers. But delivering this simplicity at enterprise scale is hard: AI agents must be accurate, specialized, and deeply […]

How are Swiss companies balancing innovation with strict regulatory requirements? What does an AI implementation look like in banking, public sector, and manufacturing? How is Amazon Web Services helping companies to turn their ideas into productive workloads? The AWS Summit Zurich 2025 answered these questions through real customer stories and technical deep dives. This recap […]

Almost a year after bringing Amazon Bedrock and multiple generative AI models to Europe/Zurich, we’re introducing Cross-Region Inference (CRIS). Amazon Bedrock’s cross-Region Inference intelligently routes inference requests across multiple AWS Regions to optimize performance and availability. CRIS is enabled by leveraging geographic or global inference profiles. When using geography-based inference profiles (such as US, EU, […]

Today, we are excited to announce that the Apertus family of large language models (LLMs) developed by Swiss AI are available in Amazon SageMaker JumpStart. In this blog post, we explore how you can deploy these models efficiently on Amazon SageMaker AI. The Swiss AI Initiative, a partnership between ETH Zurich and EPFL Lausanne recently […]

Dieser Blog bietet eine kurze Einführung in das Open-Source-SDK Strands Agents von Amazon, das die Entwicklung von Agentic AI erheblich vereinfacht. Entwickler können dabei entweder Amazon Bedrock, alternative LLM’s oder sogar lokal gehostete Modelle, verwenden. Im folgenden Beispiel wird eine Agentic AI-Anwendung mit Hilfe des KI-gestützten Assistenten für Softwareentwickler (Amazon Q Developer) erstellt. Dabei erleben […]

Generative künstliche Intelligenz (KI) hat das Potenzial, die globale Wirtschaft und Arbeitsproduktivität signifikant zu steigern. Für die Schweiz prognostiziert PwC etwa ein zusätzliches Bruttoinlandsprodukt von bis 50 Milliarden Franken bis 2030 durch den Einsatz dieser Technologie. Im Gegensatz zur traditionellen KI kann generative KI, basierend auf leistungsfähigen Sprachmodellen und Basismodellen, neue Inhalte wie Texte, Bilder […]