Designing Scalable Data Product Architectures With Agentic AI And ML: A Cross-Industry Study Of Cloud-Enabled Intelligence In Supply Chain, Insurance, Retail, Manufacturing, And Financial Services

Abstract

The emergence of industrial product lines enabled the creation of the most complex products ever. Product models are necessary to design, configure and maintain this complexity. The systems at the core of current scalable product based software development are usually realized as rigid to change data models embodied in relational databases. This makes it expensive to exploit product model data and hampers innovation. Semantic technologies remove many of these problems but until recently lacked the performance and scalability to be put into production for large product lines. With the advent of linked data platforms this has changed. This paper outlines our design considerations for a product model framework based on the linked data principle and motivated by both business and technical needs. We present our architectural blueprint for product models and show how we apply this to three different domains. These domain models cover conventional data products, devising interaction with humans, and facilitating cooperative distributed creation of data collections. Our chosen level of generalization enables us to expose important ideas factored into our framework. It also sets the stage for open collaboration on the development and extension of product model ontologies.

Currently our data products exist as independent implementations to a varying degree addressing their respective business needs. We plan to join forces with partners to realize a family of linked data products describing different fields of human endeavor. Case studies are the ideal method to get involved in such an endeavor. To that end we invite readers to contribute to our effort. In the remainder of the paper we first outline design rationales in Section 1. Section 2 presents a blueprint for a linked data product family. Domain models, realizing components of the product blueprint, are then described in Section 3. The paper is concluded in Section 4.