TEAMING AI collaborative paper | Software Quality Days

Teaming. AI project is contributing to the software quality community through groundbreaking research in Human-AI collaboration in industrial manufacturing! 

In the collaborative paper titled Towards integrating knowledge graphs into process-oriented human-AI collaboration in industry, the authors delve into the dynamic landscape of Human-AI collaboration, leveraging the synergies between human intelligence and machine processing capabilities. 

The paper, which will be presented at the Software Quality Days by SCCH on April 23rd-25th in Vienna, demonstrates the transformative potential of the Teaming.AI software platform, as well as its capability to capture dynamic insights and to ensure synchronization of information flows through real-time executions of process models. Abstracting the essence of effective teamwork, our innovative software-driven coordination mechanism orchestrates seamless interactions between human and AI team members.

By integrating execution traces into a knowledge graph structure, the authors further enhance data quality and semantic integration, addressing one of the biggest challenges in AI-driven software solutions.

With applications spanning across industries, including plastic injection molding production, the Teaming.AI platform offers a robust, flexible, and accountable solution for transparent teamwork between humans and AI.

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Book: Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible, and Cost-Effective Production Through AI

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Call for papers: International Conference on Interoperability for Enterprise Systems and Applications (I-ESA24)