In a sign that enterprise AI is entering operational maturity, TechEx Europe will gather more than 8,000 participants and over 250 speakers at the RAI in Amsterdam on 24–25 September 2025. The program joins five co-located events — AI & Big Data Expo, Cyber Security & Cloud Expo, IoT Tech Expo, Digital Transformation Week, and Data Centre Expo — and sets the stage for discussions about moving AI beyond pilots into widespread production.
Organizers frame the show as a chance for executives and practitioners responsible for AI operations and agentic AI systems to benchmark approaches, reveal what it takes to scale projects, and examine the infrastructure, processes and governance that must be in place. Agentic AI in particular brings fresh questions about trust, oversight and continuous monitoring, and AI workloads change compute, networking and storage profiles and affect business models across sectors.
AI & Big Data Expo
AI & Big Data Expo is the central track for professionals focused on operationalizing AI. Sessions cover AI in the enterprise, practical deployment patterns, and the ethics and governance needed when systems make autonomous decisions. Maxim Romanovsky (Deutsche Bank) will outline how financial institutions tackle AI operations with an emphasis on regulatory compliance and trust. John Hearty (Mastercard) will share lessons from real-world rollouts and the challenges of scaling. Alexander Gee (Reddit) and Altaf Patel (PepsiCo) will bring sector perspectives, from content moderation to supply chain optimization and the different constraints those industries face. Speakers will explore data access, latency and the compute architectures that back modern models.
Vladimir Prodanovic (NVIDIA) and Simon Goldthorpe (Equinix) will address how to tune infrastructure for AI workloads, with sessions on colocating compute, managing GPU fleets, and designing networks for low-latency dataset pipelines. Attendees can expect case studies, vendor comparisons, and technical briefings aimed at practitioners who manage cost, capacity and performance.
Cyber Security & Cloud Expo
At Cyber Security & Cloud Expo, AI-related risk and defense strategies will be front and center. Andrew Byrd (NATO) and Amir Vashkover (Philips) will lead discussions about monitoring and securing environments where autonomous agents operate, and about mechanisms that detect unexpected behavior. Track content will include material on scaling from prototypes into production environments, monitoring and governance frameworks that align agentic AI with ethical and legal standards, and practical guidance from infrastructure suppliers on planning compute, networking and storage for intensive AI workloads. Sessions that cross into IoT and digital transformation will highlight where AI functions as part of a broader enterprise system and where it remains isolated.
Over the two days, delegates will have multiple formats to choose from: operationally focused briefings on deployment and monitoring; conceptual talks on governance; roundtables with peers and subject-matter experts; and vendor showcases that drill into cost models and capacity planning for data centers and cloud operators. Panel discussions will pose questions about autonomy, transparency and oversight, and allow attendees to compare how different sectors manage agentic decision-making.
At IoT Tech Expo, conversations will highlight the interplay between edge devices and centralized AI models, including latency trade-offs, data governance at the edge, and methods for securing sensors and actuators when autonomous agents make local decisions. Delegates from manufacturing, logistics and smart cities will present approaches to integrating real-time telemetry into model training and inference.
Digital Transformation Week will place AI within organizational change programs, covering leadership, reskilling, procurement and vendor selection. Case studies will track how teams restructure operations to accept continuous model updates, manage model sprawl and hold suppliers to compliance standards.
Data Centre Expo will focus on the physical and operational requirements of supporting AI — power and cooling for dense GPU clusters, rack design, and contractual models for colocation versus private cloud. Experts will outline how capacity planning changes when workloads shift from periodic batch processing to sustained, latency-sensitive inference traffic.
The combined format is intended to let professionals draw comparisons between sectors and architectures. Workshops and technical labs will run alongside keynotes and panels, providing a mix of practical takeaways and strategic viewpoints. Conversations will include procurement, cost modeling, vendor selection, risk management and governance pathways for agentic systems.
For leaders running AI operations or evaluating agentic systems, TechEx Europe 2025 promises a multi-sector view of how organizations progress from experimental activity to trusted, scalable autonomous systems. The program intends to surface the infrastructural choices, safeguards and leadership approaches required as enterprises adopt AI at scale.