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Jun 24, 2026 At Software AG’s International User Groups conference (IUG2026) in Munich, I co-presented “Make Adabas Data Ready for AI” with Jürgen Lind and led Innovation Lab sessions on the Natural AI Code Assistant and CONNX AI for 30+ participants.
May 16, 2026 I was recognized as an IBM Z and LinuxONE Community Contributor 2026 (Level 1) through the IBM Advocacy Program for my contribution at the GSE DACH conference.
May 12, 2026 I delivered a keynote, “Die Datenbrücke zu KI” (The Data Bridge to AI), together with Guido Falkenberg at the GSE DACH 2026 conference — showing how mainframe data (Adabas) can be integrated into agentic AI workflows via CONNX.
Feb 11, 2026 I presented at Software AG’s Sales Kickoff (SKO) in Prague, showcasing our AI work with CONNX — a secure, governed bridge between AI tools and 150+ data sources — through several enterprise use cases and live demos.
Nov 19, 2025 I received the 2025 ITEA Award of Excellence for Standardisation for my contributions to the IML4E project — recognizing work on open-source data-quality tools and ETSI standardization for industrial ML/AI.
Jul 12, 2025 During the International User Group (IUG) conference by Software AG, I had the pleasure of hosting a series of Innovation Lab sessions for our brand-new Natural AI Code Assistant. We welcomed 20 engaged participants across four interactive sessions—each designed to offer a first glimpse of our AI-powered assistant and gather valuable feedback from the Natural community.
Jan 01, 2025 I recently joined the Adabas & Natural team at Software AG as an AI Architect, where I am responsible for leading the AI strategy and integrating large language models (LLMs) into enterprise solutions.
Dec 29, 2024 Two contributions GLLM: Self-Corrective G-Code Generation using Large Language Models with User Feedback and EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection have been accepted at the Industry track of the 21st Conference on Database Systems for Business, Technology and Web (BTW’25).
Sep 06, 2024 Our Lopster paper (Generalizable Data Cleaning of Tabular Data in Latent Space) has been accepted at the 51st International Conference on Very Large Data Bases (VLDB’2025).
Jul 19, 2024 Our LLMClean paper (Context-Aware Tabular Data Cleaning via LLM-Generated OFDs) has been accepted at the 28th European Conference on Advances in Databases and Information Systems (ADBIS).
May 10, 2024 Our Benchmark of open-source drift detections tools, called D3Bench, has been accepted at the 26th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK 2024).
Mar 01, 2024 Our SAGED paper has been accepted at EDBT 2024.
Jan 15, 2024 Our LangXAI paper has been accepted as a demo paper at the 33rd International Joint conference on Artificial Intelligence (IJCAI-24).
Nov 15, 2023 Our LLM-based knowledge graph construction scored the third place in the LM-KBC challenge.