GROW and RISE with SAP both lead to S/4HANA in the cloud — but they serve completely different starting points. Here is how to tell which one fits your organisation.
SAP Signavio tells you what your processes actually do — not what you think they do. Covers process mining, the Signavio suite and where it fits in SAP.
Anthropic released MCP in November 2024. By March 2026 it had 97 million monthly SDK downloads and support from every major AI vendor. This post explains what MCP is, the problem it solves, how it works architecturally, and why it matters for anyone building or integrating AI systems — including in the SAP world.
Temperature, top-p and top-k decide how an LLM picks every word it generates. This post explains what each setting does, how they interact, and what to set for your task.
Kafka and RabbitMQ solve different problems. This post breaks down the log vs queue mental model, shows when each tool wins, and gives you an opinionated decision guide.
When one AI agent isn't enough, multi-agent systems take over. This post explains how orchestration, MCP and A2A actually work — and where these systems fail in production.
AI workloads create data flows most enterprises have never governed. This post explains data sovereignty, residency and localisation — and why the difference matters for your AI deployments.
ChatGPT, Claude, Gemini, Joule — they are all powered by large language models. But what is an LLM actually doing when it responds to you? This post explains what an LLM is, how it is trained, what tokens and embeddings mean, and why LLMs predict rather than think — clearly, without the academic language.
Most comparisons of SAP S/4HANA and ECC focus on marketing bullet points. This post explains what actually changed — the data model, the database, the user experience, and what it means for a real SAP landscape. Written by a consultant who has worked with both.
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