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AI for Businesses: General-Purpose vs. Industry-Specific AI

AI for Businesses: General-Purpose vs. Industry-Specific AI

When choosing the right AI for a business, people often turn first to a large, off-the-shelf platform. It’s well-known, up and running in just a few minutes, and capable of an astonishing range of tasks. But things get complicated—at the latest—when specialized data comes into play or the legal department asks about GDPR compliance and data management. This is exactly where generic AI solutions differ from specialized industry-specific ones. In this article, we’ll look at where the real...

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What comes after ingress-nginx?

What comes after ingress-nginx?

Last November, the Kubernetes project announced the discontinuation of the popular ingress controller ingress-nginx. After a best-effort transition phase until March 2026, the project will no longer receive any releases, bug fixes or security updates from this point...

AI & Cloud: best practices and examples

AI & Cloud: best practices and examples

AI and cloud technologies are closely linked. Companies are increasingly relying on AI to automate processes, optimize decisions and develop innovative products. At the same time, the demands on infrastructure, scalability and security are increasing in order to...

New managed AI models

New managed AI models

We are now running two of the strongest multilingual open source retrieval models 2025/26 fully managed via our API. This adds two important components to the NWS Managed AI Models. Anyone who has ever worked with retrieval augmented generation (RAG), semantic search...

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