From Pilot to Production: AI Operations Insights at TechEx Europe 2025

TechEx Europe 2025: Practical learnings for AI operations leaders

On 24-25 September 2025, the RAI in Amsterdam brings 8,000+ peers and 250+ speakers together across five co-located events: AI & Big Data Expo, Cyber Security & Cloud Expo, IoT Tech Expo, Digital Transformation Week, and Data Centre Expo.

If you own AI deployment, reliability, or cost in your org, this is two days to pressure test your approach, compare playbooks, and fix what blocks scale.

Why it matters for operations

AI is moving from pilots to production. Agentic systems add questions about oversight, trust, and incident response.

This event puts AI at the center of cloud, data, IoT, and transformation-so you can align models, infra, and process in one place.

Sessions to watch

AI & Big Data Expo
Operationalising AI in the enterprise, with a clear focus on governance and ethics. Maxim Romanovsky (Deutsche Bank) on AI operations in regulated finance. John Hearty (Mastercard) on real deployments and scaling lessons. Alexander Gee (Reddit) and Altaf Patel (PepsiCo) on sector realities-from content moderation to supply chain optimisation.

Data Centre Expo
Compute, latency, and data pipelines built for AI. Vladimir Prodanovic (NVIDIA) and Simon Goldthorpe (Equinix) on planning capacity, workload placement, and optimisation.

Cyber Security & Cloud Expo
Security for autonomous systems. Andrew Byrd (NATO) and Amir Vashkover (Philips) on monitoring, detection, and control planes that keep AI trustworthy.

What you'll take back to the office

• Scaling responsibly: How teams graduate from prototypes to production with SLAs, rollback plans, and release gates.
• Monitoring & governance: Patterns for policy, audit, human-in-the-loop, and post-incident reviews for agentic AI.
• Infrastructure readiness: Concrete guidance on compute sizing, network design, storage throughput, and cost controls.
• Cross-disciplinary learnings: How security, IoT, and transformation workstreams connect with AI operations-or stall it.

How to work the event

• Prioritise sessions on deployment pipelines, observability, and model risk over generic vision talks.
• Book peer meetings early. Compare org structures, SRE handoffs, and runbooks.
• Use vendor and data centre sessions to pressure-test capacity plans and budget models for 2026.
• Join panels on autonomy and ethics to refine guardrails for decision-making, transparency, and oversight.

Questions to bring

• What's the minimal governance stack that still passes audit and keeps velocity?
• How do you do drift, toxicity, and bias monitoring without drowning engineers in alerts?
• What triggers a safe-mode fallback for agentic systems, and who owns the switch?
• How are GPU pools, storage tiers, and network fabrics allocated across training, fine-tuning, and inference?
• What's the cost envelope per use case, and how do you forecast and cap it?

Speaker highlights for operators

• Deutsche Bank, Mastercard: Regulatory-grade ops, audit trails, and scaling patterns you can adapt.
• Reddit, PepsiCo: Content and supply chain show two ends of latency, transparency, and safety demands.
• NVIDIA, Equinix: Practical blueprints for compute, interconnects, and data locality.
• NATO, Philips: Secure-by-default approaches for autonomous and semi-autonomous systems.

Helpful frameworks

• NIST AI Risk Management Framework for aligning risk, measurement, and controls with your deployment workflow.

Dates, venue, registration

24-25 September 2025, RAI Amsterdam. Plan your schedule across AI, security, infra, and transformation tracks. Bring your roadmaps and open questions.

Find out more and register via the official TechEx Europe website.

Keep building your ops skill stack

If you're defining roles, upskilling teams, or mapping training to outcomes, explore curated learning paths by role at Complete AI Training.

For AI operations and agentic AI, TechEx Europe 2025 gives you the signal you need: what's working, what breaks at scale, and how to build the systems, safeguards, and leadership to run AI with confidence.