Leanne Joseph is a London-born, Amsterdam-based Emcee, Event Host and Moderator known for leading engaging conversations on global stages. She began her career in the music industry at just 16, interviewing artists like Kendrick Lamar and Kelly Rowland, which sparked her passion for storytelling and expansive conversations.

Today, Leanne brings that same energy and depth to corporate events worldwide. She has hosted main stages for international conferences including Deep Tech Momentum, Aurora Live and Reuters Events, guiding conversations on topics like Tech, AI, Cybersecurity, Health, and innovation. Her work with brands such as WeTransfer and Red Bull has included moderating panels on business, leadership, and global marketing strategies.

With a warm, confident presence and a global mindset shaped by time living in London, Austria, and Amsterdam and traveling to over 30 countries, Leanne creates engaging experiences that resonate long after the event ends.

Located at High Tech Campus Eindhoven, AI Innovation Center is the Netherlands’ leading AI hub, providing the right ecosystem of companies, experts, and facilities to help start and scale Next-Gen AI companies.

Philipp Werle works as Innovation Manager Emerging Tech for HTCE and is responsible for the AI Innovation Center and 3EALITY.

Program Manager AI Transformation - Philips

From Experimentation to Impact: Scaling AI Across Engineering

AI is evolving at an unprecedented pace, yet many organizations struggle to translate its potential into real, measurable impact. In this session, we share how Philips Innovation Engineering is driving a structured AI transformation across engineering teams moving from isolated experiments to scaled, value-generating workflow redesign. We introduce a practical transformation approach built around three pillars: capability building, workflow redesign, and enablement.

This includes developing AI competencies, running structured acceleration cycles to identify high-impact workflows, and establishing the right platforms, governance, and partnerships to scale. Rather than focusing on individual tools or isolated use cases, the session highlights how to redesign engineering workflows end-to-end with AI, enabling sustainable productivity gains, improved quality, and faster innovation cycles while building an AI-augmented workforce.

Panel

Co-Founder and Chief Customer Officer - chunkx

Founding Partner - LUMO Labs

TBA

Co-founder and CEO - Avendar

Responsible AI in the public sector, Why AI is becoming essential in fighting crime and fraud

How can AI be used responsibly in a high-risk public-sector context, without allowing the system to make decisions? In this session, Marijn van Aerle shows how Avendar is working with the police and municipalities to develop AI systems that fight crime and fraud.

Using real-world examples, the session demonstrates how AI can structure documents, detect financial signals, identify relationships between people, companies and transactions, and help investigators get to the heart of a case faster.

The talk goes beyond models and document analysis. It also addresses the critical conditions needed for responsible deployment: traceability back to source documents, explainability, privacy, security, automation bias, sovereign AI, and compliance with frameworks such as the AI Act and the Dutch Bibob Act.

Head of Design Services - FIDDS

Secure, compliant... but aren't we forgetting ourselves?

We are pouring enormous energy into making AI safe. Security, privacy, compliance, clean code. All of it matters, and all of it is deeply technical. But in all this rush, aren't we overlooking the most important thing? The one that sits at the heart of why we build anything at all: ourselves.

Here is what it costs us when we forget. The thing ships, it passes every check... and nobody uses it. People work around it, and the investment quietly evaporates. That gap only widens now that anyone can build. Because what counts now is no longer whether you can build it, but if it helps the people who use it.
Most people spot an AI made screen within seconds, but the real danger is subtler: even if the interface uses your colours and your components, every screen looks and, even worse, works differently. This means users must relearn the interface page after page. You built it in a day, and now it is painfully slow to use. Fast to build and slow to use is not a win: it is a worse product, delivered quicker.

This talk starts where good AI always starts with the human perspective. We will look at how to keep people in control as AI takes over more of the work, and why safeguarding the interface deserves the same rigor we give security.

Duotalk

Solution Engineer

Senior Solutions Architect