Microsoft Copilot and GitHub Copilot share a name but solve different problems. This post explains what each actually does, who it suits, and where they overlap.
Agents fail silently when every plant customized the same SAP process differently. Clean core, not the agent framework, decides whether AI actually works reliably.
A nod in a steering committee is not sign-off. This post shows how to frame SAP architecture decisions so stakeholder approval actually holds.
MCP Gateway in SAP Integration Suite turns existing SAP APIs into governed MCP tools for AI agents. What it is, how it works, and what's still evolving in 2026.
Open source and closed source AI models have different trade-offs. This post covers capability, cost, data sovereignty, and how to decide which fits your use case.
The three-stage pipeline that turns raw compute into a conversational AI model. Pretraining, supervised fine-tuning and RLHF explained — no equations, just the concepts.
AI alignment is the reason ChatGPT, Claude and SAP Joule behave the way they do. This post explains what alignment means, how RLHF works and why it still isn't a solved problem.
Prompt injection is OWASP's #1 LLM risk. This post explains direct and indirect attacks, why traditional security can't stop them, and the four defence layers that work.
SAP Business AI and Joule explained — what Joule actually does, how it differs from a generic AI copilot, and where AI sits across S/4HANA, BTP, and SuccessFactors
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