Authors: Manoj Adhikari
Abstract: This review article investigates the transformation of enterprise intelligence through the integration of SAP Business Technology Platform (BTP) with real-time AI and predictive analytics. In the business landscape, the "intelligence mandate" has moved beyond retrospective reporting to instantaneous foresight, necessitating an architectural shift toward a unified data fabric. The research evaluates how SAP HANA Cloud and SAP Datasphere enable high-speed data federation and in-database machine learning, eliminating the latency inherent in traditional ETL processes. Special emphasis is placed on the shift from "Copilot" search tools to "Agentic AI" within the Joule ecosystem, where autonomous agents independently orchestrate multi-step workflows across finance, supply chain, and manufacturing. The article analyzes specific methodologies, including Time-Series forecasting and augmented analytics in SAP Analytics Cloud, while addressing implementation hurdles such as the clean core mandate, digital sovereignty, and the "cold start" data hygiene problem. The review concludes that the convergence of real-time stream processing, explainable AI, and nascent quantum-ready optimization is redefining the SAP cloud as a self-steering system of intelligence, essential for maintaining industrial resilience in a hyper-connected global economy.
DOI: https://doi.org/10.5281/zenodo.19437507
