FhGenie: A Custom, Confidentiality-preserving Chat AI for Corporate and Scientific Use

no code implementations • 29 Feb 2024 • Ingo Weber, Hendrik Linka, Daniel Mertens, Tamara Muryshkin, Heinrich Opgenoorth, Stefan Langer

Since OpenAI's release of ChatGPT, generative AI has received significant attention across various domains.

LLMs for Science: Usage for Code Generation and Data Analysis

1 code implementation • 28 Nov 2023 • Mohamed Nejjar, Luca Zacharias, Fabian Stiehle, Ingo Weber

We have investigated a set of use cases for LLM-based tools in scientific research, and conducted a first study to assess to which degree current tools are helpful.

Code Generation

Large Process Models: Business Process Management in the Age of Generative AI

no code implementations • 2 Sep 2023 • Timotheus Kampik, Christian Warmuth, Adrian Rebmann, Ron Agam, Lukas N. P. Egger, Andreas Gerber, Johannes Hoffart, Jonas Kolk, Philipp Herzig, Gero Decker, Han van der Aa, Artem Polyvyanyy, Stefanie Rinderle-Ma, Ingo Weber, Matthias Weidlich

The continued success of Large Language Models (LLMs) and other generative artificial intelligence approaches highlights the advantages that large information corpora can have over rigidly defined symbolic models, but also serves as a proof-point of the challenges that purely statistics-based approaches have in terms of safety and trustworthiness.

Management

AI-Augmented Business Process Management Systems: A Research Manifesto

no code implementations • 30 Jan 2022 • Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Völzer, Ingo Weber

AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology.

Management

Efficient Logging for Blockchain Applications

1 code implementation • 28 Jan 2020 • Christopher Klinkmüller, Ingo Weber, Alexander Ponomarev, An Binh Tran, Wil van der Aalst

Second generation blockchain platforms, like Ethereum, can store arbitrary data and execute user-defined smart contracts.

Software Engineering

Interpreted Execution of Business Process Models on Blockchain

1 code implementation • 4 Jun 2019 • Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber

To address this lack of flexibility, this paper presents an interpreter of BPMN process models based on dynamic data structures.

Software Engineering

Dynamic Role Binding in Blockchain-Based Collaborative Business Processes

2 code implementations • 7 Dec 2018 • Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber

The paper also outlines an approach to compile policy specifications into smart contracts for enforcement.

Software Engineering

CATERPILLAR: A Business Process Execution Engine on the Ethereum Blockchain

2 code implementations • 10 Jul 2018 • Orlenys López-Pintado, Luciano García-Bañuelos, Marlon Dumas, Ingo Weber, Alex Ponomarev

The specificity of Caterpillar is that the state of each process instance is maintained on the (Ethereum) blockchain and the workflow routing is performed by smart contracts generated by a BPMN-to-Solidity compiler.

Software Engineering

SAP Speaks PDDL: Exploiting a Software-Engineering Model for Planning in Business Process Management

no code implementations • 23 Jan 2014 • Joerg Hoffman, Ingo Weber, Frank Michael Kraft

We show herein that one can use this same model for planning, thus obtaining a BPM planning application that incurs no modeling overhead at all.

Management