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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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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...

Activate NVIDIA Multi-Instance GPU (MIG)

Activate NVIDIA Multi-Instance GPU (MIG)

In response to the growing demand for flexible yet capable computing resources, NVIDIA has provided a powerful tool in the form of Multi-Instance GPU (MIG) technology, which allows a single physical GPU to be partitioned into multiple independent instances. Each...

Artificial intelligence in safe hands

Artificial intelligence in safe hands

Digital transformation through AI solutions: Opportunities and challenges Digitalization is progressing rapidly and is now influencing almost all areas of life and work. Whether communication, finance or the healthcare sector, digital technologies are omnipresent. One...