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Abstract

HARNESSING ADVANCED GPU ACCELERATED TECHNIQUES FOR AUGMENTED DATA ANALYSIS AND VISUALIZATION IN ENTERPRISE RESOURCE PLANNING (ERP)

Bhavesh Gondaliya

University of Mumbai, Mumbai, India

67 - 75
Vol. 10, Jul-Dec, 2020
Receiving Date: 2020-06-18
Acceptance Date: 2020-08-09
Publication Date: 2020-08-29
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Abstract

In the context of the fourth industrial revolution, the enterprise resource planning system (ERP) serves as a crucial nexus for integrating logistics systems, production facilities, innovative machinery, IoT devices, and other enterprise data sources. This paper presents an approach to augment the analytical capabilities of ERP-integrated tools by leveraging a multi-tenant GPU-enabled high-performance computing (HPC) environment. By harnessing corporate analytics alongside GPU-accelerated, in-memory processing of both structured and unstructured data, this approach enhances the efficiency and effectiveness of enterprise machine learning (ML) tasks. The proposed method advocates for data sharing in GPU memory through an open analytic platform, complementing existing ERP analytical functionalities, demonstrated with SAP S/4Hana as an example. This solution streamlines the workflow of data scientists dealing with ERP datasets, facilitating faster, higher-quality AI model development and simplifying data interaction through non-ERP visualization methods such as immersive learning with virtual or augmented reality (VR/AR).


Keywords: enterprise resource planning system (ERP); IoT; machine learning


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