Every RAG system runs on a vector database. This post explains embeddings, semantic search and cosine similarity — no prior knowledge of AI or databases required.
Multimodal AI processes text, images, audio and video in one model. This post explains how it works, why native multimodality matters and where it is already in use.
Not all AI acts on its own. This post explains the autonomy spectrum — from reactive assistants to fully autonomous agents — and where human oversight fits in between.
SAP Business Data Cloud unifies fragmented SAP data into a governed semantic layer for analytics and AI. Understand the architecture, components, and what it means for your SAP roadmap.
Context engineering is the layer prompt engineering can't cover. Learn what it is, why it matters for production AI, and how to apply it — with SAP examples.
YAML is the dominant format for config files — Kubernetes, Docker Compose, GitHub Actions and more. This post explains how YAML works and when to choose it over JSON.
Fiori catalogs and PFCG roles work fine for one system. Here is how to design authorization and role architecture that actually scales across a multi-system SAP landscape.
LLMs don't truly remember. This post explains how context windows work, why AI forgets between sessions, and the four memory types that real AI systems use to work around it.
AI regulation looks different everywhere, but the logic is identical. This post explains the risk-based model behind the EU AI Act and why regulators worldwide are copying it.
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