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In his tech tutorial, Catalin demonstrated how to build a complete application using AI tools-without writing a single line of code. He explored different no-code and AI-assisted approaches, showing how accessible and feasible it has become to turn software ideas into reality, even without programming experience. His session inspired participants to experiment with AI-powered development and rethink what it means to be a creator in the tech world.

This tutorial by Catalin Gheorghiu was held on October 14th at DSC DACH 25 in Vienna.

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In her tech tutorial, Paula introduced a design thinking–inspired approach to improving the report design process in organizations. She walked us through a practical methodology that emphasizes understanding and prioritizing the end user’s needs. Using this perspective, she showcased strategies and tools for creating more effective and impactful Power BI reports. Her session highlighted how thoughtful design can transform data into meaningful insights that truly empower decision-making. This tutorial by Paula García Esteban was held on October 14th at DSC DACH 25 in Vienna.

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In her tech tutorial, Elaheh explored how graph-based technologies can enhance the reasoning and transparency of agentic AI systems. She demonstrated how Graph Retrieval-Augmented Generation (Graph RAG) and the Model Context Protocol (MCP) enable richer, more structured knowledge representations. Through these methods, AI agents can make decisions that are both explainable and trustworthy. Elaheh also showcased real-world use cases—from real estate to sustainability management-highlighting how this graph-based paradigm empowers intelligent systems across industries.

This tutorial by Elaheh Momeni was held on October 14th at DSC DACH 25 in Vienna.

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In his tech tutorial, Andre introduced the wide range of AI services available on Microsoft Azure and how they can be seamlessly integrated into applications. He covered tools for generative AI, image classification, document processing, speech recognition, and even video and audio avatar generation. Andre also demonstrated how to get started using these services through various SDKs—particularly with Java. His session offered a practical, beginner-friendly guide to leveraging Azure’s AI ecosystem, with a playful nod to its futuristic potential.

This tutorial by Andre Melancia was held on October 14th at DSC DACH 25 in Vienna.

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In her tech tutorial, Kasia showed how to turn a product idea into a working MVP in just 90 minutes without any coding skills. She demonstrated the use of AI tools like Uizard, Lovable, and Replit to quickly prototype and validate concepts. The session was designed for non-technical founders, product teams, and innovators, combining hands-on demos with practical frameworks. Kasia emphasized how AI can help build smarter and faster, making rapid product development accessible to everyone.

This tutorial by Kasia Sadowska was held on October 14th at DSC DACH 25 in Vienna.

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In his tech tutorial, Krishnendu guided participants through building a complete responsible AI pipeline using open-source large language models like LLaMA, Gemma, and GPT-OSS. He demonstrated how to create and orchestrate AI agents using frameworks such as Model Context Protocol (MCP), Agent-to-Agent (A2A), AutoGen, and Google ADK, while ensuring privacy and transparency. The session included live coding with tools like vLLM, Hugging Face Transformers, and Presidio, covering use case identification, agent building, orchestration, and privacy safeguards. By the end, attendees gained practical starter code, a minimal end-to-end implementation pipeline, and guidelines for developing decentralized, transparent, and privacy-preserving AI agents. This tutorial by Krishnendu Dasgupta was held on October 14th at DSC DACH 25 in Vienna.

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In his tech tutorial, Marcin showed how to go beyond creating prompts for ChatGPT and build full applications leveraging generative AI. He covered the fundamentals of large language models (LLMs), introduced LangChain, and demonstrated techniques like question answering over documents and creating reasoning agents. The session also addressed advanced methods and practical challenges of deploying LLMs in production. By the end, participants with Python experience gained hands-on knowledge to develop GPT-driven applications while understanding potential pitfalls and limitations. This tutorial by Marcin Szymaniuk was held on October 14th at DSC DACH 25 in Vienna.

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In his tech tutorial, Christian emphasized the importance of ensuring trustworthy and reliable results when working with KPIs, metrics, reports, and charts in the era of AI. He introduced the basics of using Tableau for visual analysis, highlighting its strengths in quickly discovering, absorbing, and analyzing data. Christian demonstrated how Tableau can help validate data insights effectively. By the end of the session, participants gained practical knowledge to create accurate and reliable visual analyses. This tutorial by Christian Mata was held on October 14th at DSC DACH 25 in Vienna.

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In their tech tutorial, Ved and Ranjan showed how to leverage Snowflake’s AI capabilities to build a semantic layer for trusted, business-ready insights. They demonstrated modeling metrics in Snowflake and enriching them with Cortex AI functions such as classification, summarization, and semantic search. The session also covered enabling natural language querying while maintaining enterprise-grade governance. By the end, participants learned how to unlock the full potential of Snowflake as an AI-driven platform for data-driven decision-making.

This tutorial by Ved Prakash & Ranjan Melanta was held on October 14th at DSC DACH 25 in Vienna.

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In her Keynote, Brinnae Bent highlighted the vulnerability of blackbox AI systems, showing how easily even students can exploit them due to their lack of explainability. She introduced the concept of "Adversarial Alignment," which uses these weaknesses as an opportunity to better understand and align AI systems with human goals and values. Brinnae presented real-world examples of adversarial attacks and cutting-edge research demonstrating how these insights can improve model robustness. Attendees learned practical strategies for applying adversarial alignment to develop more trustworthy, explainable, and responsible AI systems.

This Keynote speech by Brinnae Bent was held on October 15th at DSC DACH 25 in Vienna.

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In his talk, Christian explored the concept of Augmented Intelligence and how it differs from traditional Artificial Intelligence by focusing on supporting human decision-making rather than replacing it. He discussed how this approach helps tackle challenges like information overload, siloed knowledge, and complex decision-making in enterprises. Real-world case studies from organizations such as BVAEB, Grenke, and W&B illustrated practical applications and benefits. The session concluded with a forward-looking perspective on the evolving role of AI agents in business environments.

This speech by Christian Casari was held on October 15th at DSC DACH 25 in Vienna.

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In his talk, Markus discussed the capabilities of Large Language Models in natural language understanding and generation. He highlighted the challenges of applying LLMs directly to proprietary code generation, where precision and domain-specific knowledge are essential. Markus emphasized the importance of fine-tuning pre-trained LLMs to accurately translate natural language into executable queries for specialized systems. He also stressed the crucial role of high-quality, domain-specific data in ensuring successful fine-tuning and reliable results.

This speech by Markus Spanring was held on October 15th at DSC DACH 25 in Vienna.

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In his talk, Javier explored the gap between impressive agentic AI demos and their real-world impact in everyday business. He examined why many Generative AI applications fail to deliver practical value despite their apparent capabilities. Drawing from his experience, he highlighted key success factors that separate companies stuck in the demo phase from those already generating real business solutions. The session also looked ahead at how organizations can leverage agentic solutions effectively while addressing persistent challenges in data strategy and implementation.

This speech by Javier Poveda-Panter was held on October 15th at DSC DACH 25 in Vienna.

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In his talk, Ali discussed the limitations of Large Language Models (LLMs) in performing symbolic reasoning, which is crucial for structured decision-making in telecom applications. He explored how integrating symbolic reasoning into LLMs can enhance logical inference, rule-based processing, and deterministic problem-solving. Ali presented hybrid AI approaches that combine LLMs with knowledge graphs, constraint solvers, and formal logic systems to improve reliability in tasks like network optimization, anomaly detection, and automated troubleshooting. By bridging statistical learning with symbolic reasoning, his talk highlighted opportunities for creating more explainable, robust, and telecom-adapted AI solutions.

This speech by Ali Mokh was held on October 15th at DSC DACH 25 in Vienna.

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​​In their panel, moderated by Alin, Ruben, Annalisa & Diogo, discussed why many Generative AI projects stall at the pilot stage or fail to deliver measurable impact. They highlighted common pitfalls, including poor integration, lack of contextual understanding, and misaligned incentives. The panel explored strategies and best practices that executives and teams can adopt to overcome these challenges. Attendees gained practical insights on how to ensure GenAI initiatives translate into real, sustainable business value.

This panel discussion by Ruben Hetfleisch, Annalisa Cadonna, Diogo Ribeiro Braga was held on October 15th at DSC DACH 25 in Vienna.

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In her Keynote, Zrinka Puljiz emphasized that in the era of Large Language Models, data defines the very boundaries of intelligence. She explored how the quality, diversity, and ethics of data shape the capabilities and limitations of AI systems. Zrinka discussed how data collection, labeling, and governance influence LLM behavior, creativity, and bias, highlighting the need for organizations to rethink their data strategies. Attendees gained insights on building data ecosystems that drive innovation while ensuring trust, fairness, and long-term sustainability in generative AI.

This Keynote speech by Zrinka Puljiz was held on October 15th at DSC DACH 25 in Vienna.

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In his talk, Ved shared a practical journey of implementing conversational analytics using Snowflake Cortex. He detailed the process from initial concept to full business adoption. Rather than focusing on theory, he highlighted real-world experiences in building and deploying a "talk to your data" solution. The session emphasized how to bridge the gap between technical capabilities and the needs of business stakeholders.

This speech by Ved Prakash was held on October 15th at DSC DACH 25 in Vienna.

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In his talk, Markus discussed the capabilities of Large Language Models in natural language understanding and generation. He highlighted the challenges of applying LLMs directly to proprietary code generation, where precision and domain-specific knowledge are essential. Markus emphasized the importance of fine-tuning pre-trained LLMs to accurately translate natural language into executable queries for specialized systems. He also stressed the crucial role of high-quality, domain-specific data in ensuring successful fine-tuning and reliable results.

This speech by Markus Spanring was held on October 15th at DSC DACH 25 in Vienna.

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In their talk, Verena and Ioan presented a novel approach to machine data analytics using intent-driven automation from the Horizon Europe project INTEND. They showed how domain experts can define, compose, and deploy complex industrial analytics services using natural language, without needing deep technical knowledge. Verena highlighted the high-level benefits, including reduced deployment times, increased adaptability, and democratized access to industrial analytics. Ioan provided technical insights, demonstrating how a chatbot interface, domain-specific knowledge graph, and AI-based orchestration enable executable deployments across cloud and edge environments.

This speech by Verena Pietsch & Ioan Toma was held on October 15th at DSC DACH 25 in Vienna.

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