Leveraging the convergence of SAP HANA's advanced data management capabilities and generative AI's predictive analytics for next-generation enterprise intelligence

Venu Gopal Avula *

Independent researcher, USA.
 
Review
World Journal of Advanced Engineering Technology and Sciences, 2024, 12(01), 528-541.
Article DOI: 10.30574/wjaets.2024.12.1.0216
Publication history: 
Received on 13 April 2024; revised on 25 June 2024; accepted on 28 June 2024
 
Abstract: 
The modern data-driven economy demands businesses to create intelligent systems that process massive amounts of information in real time to develop operational ideas useful for strategic planning. The article details how SAP HANA data management excellence combines generative AI prediction analysis to create an advanced enterprise decision-making framework. The SAP HANA in-memory framework's big data handling features enable users to handle enormous data sets that include both structured and unstructured data. Generative AI warehouses use machine learning, natural language processing, and large language models to give enterprises personalized customer interactions, trend forecasting options, and process automation solutions for complex decision-making. This integration exists to transform traditional data systems by enabling organizations to achieve enhanced operational agility together with improved precision and innovation through their enterprise operations. SAP HANA scalability alongside generative AI adaptive learning capabilities will generate a complete ecosystem overview for organizations, leading to precise predictions of business results and critical market reactions.
 
Keywords: 
Sap Hana: Generative AI; Predictive Analytics; Enterprise Intelligence; Data Management; Real-Time Insights; AI Integration; Business Transformation
 
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Copyright information: 
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0