Talks & Events
Talks & Events
Matthias Sammer speaks on industrial AI adoption, AI-native software development and audit-grade data systems. 2026 engagements include a keynote at Production & IT in Graz, a keynote at the KI-Afterwork of the Wirtschaftskammer Tirol in Innsbruck, panel moderation at the IT Leaders Experience in Waidhofen, and a hosted exchange on AI-native development, vibe coding and spec-driven workflows.
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June 2026
Panel Moderation: AI in Companies
Matthias Sammer moderated a panel on the practical adoption of AI in companies at the IT Leaders Experience in Waidhofen, Austria (June 2026), with perspectives from industry, IT, academia and regulated sectors. Topics: AI in production environments, industrial AI beyond generative AI, document review, regulated workflows, IT governance, data quality, compliance, system integration and change management.
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May 2026
Industrial AI Reality Check: What Works, What Fails, and What We Can Stop Doing
Keynote at Production & IT in Graz (19 May 2026) on the practical realities of AI adoption in industrial and production-oriented organizations: where AI creates real value, why initiatives fail to move from prototype to production, and why architecture, governance, process understanding and organizational judgment now matter more than model capability alone.
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April 2026
Vibe Coding and AI-Driven Software Development
Keynote at the KI-Afterwork of the Wirtschaftskammer Tirol in Innsbruck (April 2026) on how AI-driven development and vibe coding change the way software is built: shorter innovation cycles, faster MVPs and more accessible custom software for SMEs — and why architecture, security, data protection, stability and GDPR compliance still separate a prototype from a production-ready system.
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March 2026
AI-Native Development, Vibe Coding and Spec-Driven Workflows
Matthias Sammer hosted a focused exchange (2026) on how AI-native workflows, vibe coding, spec-driven development and agent-assisted engineering change how software is specified, built, reviewed and brought into production — including harness engineering: the environments, tools and guardrails that keep AI coding agents productive without losing control over architecture, security and maintainability.