On 24–25 September 2025, the RAI in Amsterdam hosts TechEx Europe, an event that unites 8,000+ attendees and 250+ speakers across five co-located events: AI & Big Data Expo, Cyber Security & Cloud Expo, IoT Tech Expo, Digital Transformation Week, and Data Centre Expo.
The event offers opportunities to engage with peer executives and practitioners involved in AI operations and agentic AI systems. You’ll be able to benchmark individual approaches and explore the infrastructures and processes needed to deploy AI at scale.
AI operations on the agenda
AI is shifting quickly from pilots to enterprise-wide adoption. Agentic AI is raising issues of governance, trust, and surveillance, and AI workloads redefine infrastructure needs and business models. TechEx Europe positions AI at the forefront of broader debates on cloud, data, IoT, and digital transformation, offering AI operations professionals an opportunity to place their challenges within the broader technology landscape.
Sessions and speakers to watch
AI & Big Data Expo
This path is the main path for AI professionals, with special sessions on operating AI, AI in the enterprise, and investigating issues of governance and ethics.
Maxim Romanowsky (Deutsche Bank) will speak about how financial institutions design their AI operations, focusing on regulatory compliance and trust.
John Hearty (Mastercard) will present real-world deployments and scaling learnings.
Alexander Gee (Reddit) and Altaf Patel (PepsiCo) will discuss sector-specific issues, ranging from content and moderation to supply chain optimization.
Data Centre Expo. AI workloads require high compute and low-latency access to sane data. Vladimir Prodanovic (NVIDIA) and Simon Goldthorpe (Equinix) will present their views on infrastructure optimization for AI workloads.
Cyber Security & Cloud Expo . AI imposes new security challenges. Sessions by Andrew Byrd (NATO) and Amir Vashkover (Philips) will examine how to monitor and secure spaces in which autonomous systems function.
Operational takeaways for AI activities
Responsible scaling: Examples of how organizations transition from prototypes to production environments.
Monitoring & governance: Mechanisms for ensuring agentic AI meets ethical and legal requirements.
Infrastructure readiness: Guidance from infrastructure providers on how to plan for AI’s compute, networking, and storage demands.
Cross-disciplinary learning: Exposure to security, IoT, and transformation tracks will show AI’s integration with enterprise ecosystems, or exist in isolation.
Approaching the event
For two days, attendees will have multiple opportunities, including the ability to:
Focus on operational themes in sessions on deployment and monitoring, plus purely conceptual talks.
Discuss with peers and experts in conversation with other AI professionals.
Discuss partnerships with vendor and data centre-oriented discussions of cost and capacity planning for AI projects.
Position questions in terms of autonomy and ethics at panel discussions. How are others addressing agentic AI decision-making, transparency, and oversight?