NextGen AI: Pionierarbeit mit generativer KI
Neue Potenziale in der Technik erschließen: KI-Einblicke und Branchentrends
MIT NANDA „GenAI Divide“ Validates Operational Knowledge Decay
MIT NANDA Project confirms in it's "The GenAI Divide - State of AI in Business 2025" report what enterprise teams have felt for months: ...
The Pragmatic Engineer Survey Exposes Failure of First Wave AI
The Pragmatic Engineer survey, their largest developer survey with ≈3,000 engineers, doesn’t just list tool likes and dislikes. It exposes the real failure of ...
Why AI Still Fails in Production: Our BSFZ-Certified Approach
After a decade managing technical relationships with BMW Group, Audi AG, and other German industrial giants, our founder witnessed the same costly pattern repeating ...
What Netflix Foundation Model Teaches Us About Agentic Infrastructure
Imagine a scalable, production-grade agentic system that doesn't just make predictions but adapts, extends, and serves diverse applications with consistency and traceability. Netflix already ...
AI Automation Must Address the Fundamental Complexity Crisis
Modern enterprises are drowning in complexity. Every process is more interconnected, every system more data-rich, and every decision more dependent on fragmented expertise. As ...
Beyond Frameworks: Building Production-Grade Agent Systems
We started building Arti like many teams do — with the idea that we needed an orchestration layer for intelligent software. But our background ...
Jenseits des Abrufs: Was prozessorientierte KI tatsächlich leistet
Von der statischen Suche zur intelligenten Ausführung - die 5 Säulen der unternehmensgerechten, prozessorientierten KI Die meiste KI in Unternehmen bleibt heute an einem ...
Comparing Agent Framework Architecture with Real Frameworks
In software, the word framework means something. It means safety. Predictability. Discipline. React didn’t become ubiquitous because it rendered HTML. It won because it ...
Warum die meisten KI-Anwendungsfälle scheitern – und was in der Praxis tatsächlich funktioniert
Trotz massiver Investitionen in künstliche Intelligenz halten die meisten KI-Anwendungsfälle nicht, was sie versprechen. Eine aktuelle Studie von Gartner hat ergeben, dass bis zu ...