Do you know the real difference between "embedded AI" that runs inside SAP's core and "side-by-side AI" that runs on BTP, and which one your organization should actually be betting on? This session lays the foundation for modern SAP cloud architecture: the shift from ECC to S/4HANA, RISE vs. GROW with SAP, the full BTP pillar structure, and how SAP HANA's in-memory database powers everything from real-time analytics to embedded intelligence. It closes with a look at SAP Joule and real business use cases, giving you the complete picture before diving deeper into individual services.
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Chapters:
00:00 SAP On-Premise to Cloud Evolution
11:10 SAP BTP Overview & Core Pillars
23:46 SAP Business AI: Embedded vs Side-by-Side AI
38:44 SAP Joule AI Copilot Overview
58:24 Navigating the SAP BTP Cockpit
01:15:18 BTP Boosters, Subscriptions & Security
01:30:15 SAP BTP Destinations Explained
01:42:21 On-Premise RFC Connectivity Demo
In this video, you'll learn:
The shift from customized on-premise ERP to a standardized, agile, cloud-centric model, and why SAP introduced two transformation paths
RISE with SAP vs. GROW with SAP explained clearly, business transformation as a service for large enterprises vs. rapid, guided public cloud adoption for mid-market and net-new customers
How SAP HANA's in-memory, column-store database dramatically speeds up calculations as data volume grows
How SAP's Data Warehouse Cloud unifies organizational data into a single, reliable source for real-time insights and faster decision-making
The role of SAP Analytics Cloud in combining internal and external data to spot anomalies and identify key performance drivers automatically
The critical architectural choice between embedded AI (built into core SAP applications for quick business value) and side-by-side AI (built on BTP for custom, differentiated use cases)
Real embedded AI examples like predictive MRP and intelligent invoice matching, plus how SAP Joule acts as an assistant across finance, procurement, and supply chain
Understanding embedded vs. side-by-side AI before you build anything is what determines whether your future AI projects are quick wins or long, over-engineered custom builds. This framework will save you real time down the line.
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