How AI is Helping Business Grow Across Borders

This event is organised by the Spanish Chamberof Commerce in Hong Kong

Join us for an exclusive in‑person seminar and networking event on how AI is helping businesses grow across borders. The Spanish Chamber of Commerce in Hong Kong, in collaboration with FreightAmigo, HKSTP Global Connect, the Australian Chamber and the German Chamber, invites you to this event on Thursday, 2 July.

This session will feature industry experts who are helping companies navigate and scale international trade using advanced technological frameworks. Finding overseas customers is only the first step. To truly scale, businesses must learn to connect digital demand generation with seamless logistics execution.

We are delighted to confirm that Terence Chow, Senior GenAI Go-To-Market Specialist at AWS, will join the session, bringing a practical perspective on how generative AI is being applied to support business growth, operational efficiency and international expansion.

The programme will include:

Opening remarks by:

• Josephine Chan, Senior Manager, New Ventures Development, HKSTP

Expert insights from:

• Ivy Tse, Co-CEO, FreightAmigo
• Terence Chow, Senior GenAI Go-To-Market Specialist, AWS

Moderated by:

• Miguel Latorre, Director, Spanish Chamber of Commerce in Hong Kong

What We Will Explore:

• Market Intelligence 2026 Second Half: A deep dive into the upcoming trade climate between Spain, Europe, and Asia, focusing on supply chain resilience and shifting consumer behaviour.
• Practical Frameworks and Best Practices: Actionable strategies for SMEs to structure growth, manage compliance, and avoid common expansion pitfalls across logistics and finance.
• Real-World Success Stories: Case studies of businesses that successfully scaled into the Spanish or Hong Kong markets using a tech-first approach.

The seminar will include a networking session with drinks and finger food.

Remarks:

• Advanced booking is required.
• Seats are limited. Booking priority to members on a first-come, first-served basis.