The speaker Jhung-Ha Kwon was part of the previous event. To review the most recent speakers list, click here.

Jhung-Ha Kwon

Director, AI COE (Centre of Excellence), Mölnlycke Digital Enablement Mölnlycke

Jhung-Ha is a data and analytics leader with over 20 years’ experience in helping various organisations maximise the value of their data assets by developing and executing data and analytics strategies and roadmaps. He’s currently Director of Applied Data Science at Mölnlycke, a global medical products and solutions company. Previously, he worked for IQVIA, a human data science company, as their R&D Solutions’ Global Data Analytics Director and helped set up Analytics Centre of Excellence to deliver AI/ML-based products and insights to support clinical development and operations, having previously worked for NHS Improvement, UK health sector regulator, as Head of Analytical Development and prior to that for KPMG UK, as management consultant.

Conference Day One - Tuesday 14th April

12:30 PM Panel Discussion: Powering Agentic AI with Data - Building the Foundation for Autonomy

Agentic systems need clean, interoperable data to operate safely. This panel explores how enterprises are adapting architectures and governance to support autonomous decision-making.

• Building data architectures for multi-agent systems

• Enabling real-time orchestration and interoperability

• Embedding governance for safe and auditable operations

Conference Day Two - Wednesday 15th April

11:30 AM Presentation/Case Study: Smarter, Smaller, Responsible: Building Scalable GenAI for Global Retail at Decathlon

Decathlon’s Responsible AI algorithmic team has developed a production-ready, low-cost GenAI search tool that outperforms Google’s solution in key areas - while running at 40 times and has plans to scale horizontally across 80 countries. This session shares how Decathlon is competing with Big Tech not by going bigger, but by going smarter - optimising small models, owning the data, and embedding responsible practices from the start.

• Outperforming Big Tech: How Decathlon built a GenAI search cheaper and more performant than Google’s

• Designing small models for scale: CPU-ready, device-friendly, and cost-efficient global deployment

• Embedding responsibility: production-ready AI that prioritises control, context and clean data

Check out the incredible speaker line-up to see who will be joining Jhung-Ha.

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