Author name: Christian Schmidt

Michael Müller – Autor und Gründer von FOUNDIC.org
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Why AI Projects Fail So Often in Mid-Sized Businesses

What’s It About? Mid-sized companies in German-speaking countries are struggling with high failure rates when implementing AI systems. The problem usually lies not in the technology itself, but in organizational deficits. Missing guidelines, unclear responsibilities, and insufficient involvement of key stakeholders regularly lead to costly missteps. Experts recommend a structured, step-by-step approach that brings all […]

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Specialized LLMs: Domain-Specific Language Models at a Glance

What’s It About? AI is becoming increasingly specialized: rather than universally applicable language models, research institutions and companies are developing more and more Large Language Models for specific domains. These domain-specific LLMs focus on individual sectors such as medicine, finance, law, or climate research, delivering significantly more precise results than their general-purpose counterparts. Currently, 17

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SAP AI Strategies: Real-World Examples from Industry

What’s It About? At Sapphire 2026, SAP presented its vision of the “Autonomous Enterprise” — companies that automate their business processes with the help of autonomous AI agents. Several major customers showcased their concrete implementations, revealing that the maturity of AI integration varies considerably: while some corporations are still working on the fundamentals, others are

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How Developers Avoid AI Hallucinations in Generated Code

What’s It About? Generative AI systems can produce so-called hallucinations when generating code — outputs that appear plausible but are factually incorrect. For software developers, this poses a significant risk: faulty code can lead to security vulnerabilities, unstable software, and substantial extra work. To address this problem, development teams rely on a combination of precise

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Leading AI Video Generators Compared

What’s It About? Artificial intelligence is fundamentally changing the way videos are produced. Modern AI-powered video generators allow users to automatically create professional video content — from animated explainer videos to highly realistic motion pictures. Advanced algorithms use machine learning to learn from extensive datasets and deliver high-quality results. These tools are aimed at both

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Best Practices for Building Agentic AI Systems

What’s It About? Autonomous AI systems that can independently make decisions and execute tasks are developing into the next major step in artificial intelligence. These so-called Agentic AI systems connect various data sources, use APIs, and make context-aware decisions. However, building them poses significant challenges for development teams: from the right architecture and model selection

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Double GPU Efficiency Through Disaggregated Inference at No Extra Cost

What’s It About? Companies running large AI models often face the problem of inefficient GPU utilization. An innovative architectural approach called Disaggregated Inference could solve this challenge: by splitting inference workloads across two specialized GPU pools, resource utilization can be significantly improved. A real-world example shows how a large retailer using a 70-billion-parameter model for

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