Victor Ho Quoc Vuong

🔷 1. Big Picture: SAP’s Strategic Shift → “Autonomous Enterprise” Key message: SAP is moving from system of record → system of execution (AI-driven) . SAP officially introduced the “Autonomous Enterprise” vision AI agents don’t just recommend → they execute end-to-end business processes [news.sap.com] , [sap.com] ERP (S/4HANA) becomes the “brain” feeding AI with trusted business context [news.sap.com] 👉 Consultant Insight: This is the biggest shift since S/4HANA Future projects are not only “implement ERP” — but: Design AI-enabled business processes Define human vs AI responsibilities SAP's new autonomous enterprise landscape --- 🔷 2. SAP Business AI Platform (New Core Architecture) SAP unified multiple pillars into one AI-centric foundation : Combines: SAP BTP SAP Business Data Cloud SAP Business AI Powered by SAP Knowledge Graph (deep semantic mapping of ERP data) [news.sap.com] , [community.sap.com] 👉 Consultant Insight: BTP is now: AI platform + extension platform + in...

Artificial intelligence is no longer the future; it's the present. From automating tasks to generating profound insights, AI is reshaping industries. However, amidst the excitement, a critical question is often overlooked: what is the actual cost of implementing and running AI? A cautionary tale comes from Uber's Chief Technology Officer, who reportedly announced in April that the company had already exhausted its entire AI budget for 2026. The culprit? Uncontrollable token consumption. This scenario highlights a crucial lesson for any organization venturing into AI: without a clear understanding of the return on investment (ROI), you might be burning through your budget faster than you think. Before you build or implement any AI use case, it's imperative to ask: What is the ROI of this AI use case? This question goes beyond the initial development costs. It encompasses the ongoing expenses of running the AI, including the computational resources, data storage, and the ...