Koshima at FESPA Middle East 2026: AI Clinic and practical Labs
Dec 16, 2025
PAST EVENT • JANUARY 2026
An archived announcement of the AI Clinic and practical Labs planned for FESPA Middle East 2026. Event bookings and the offers described for those dates are no longer current.
Archived event announcement. The dates and event-specific offers below relate to January 2026 and are not open for booking.
Practical AI conversations for print businesses
Koshima’s announcement for FESPA Middle East 2026 set out an AI Clinic and two practical AI Labs. The focus was on business tasks, useful applications and clear decisions about where AI could help.
The planned AI Clinic offered short, private conversations about a business’s current work, challenges and possible next steps. It was designed to help visitors distinguish useful opportunities from general product demonstrations.
PAUSE AND CHECK
The starting point was the business question.
Where is time being spent? What information has to be brought together? Which tasks could improve, and what would people still need to check? These questions connect interest in AI with actual work.
AI Lab 1: AI where it matters
Advertised session: 13 January 2026, 4.30–6.00pm.
This Lab was designed around existing uses of AI in print businesses, particularly business operations. It set out follow-along exercises using ChatGPT and Google Gemini, with an emphasis on making results more useful and consistent.
The announcement included an event-specific eBook about setting up ChatGPT for work. That reference records the original offer; it is not a current download promise.
AI Lab 2: from a customer brief to early design ideas
Advertised session: 14 January 2026, 4.30–6.00pm.
The second Lab described a sequence for working through a customer brief with AI support:
- Break the brief into clear requirements.
- Organise the customer’s source information and questions.
- Use that understanding to develop early design ideas.
- Review AI-generated suggestions against the original requirements.
The planned tool mix included Google Gemini and NotebookLM. The useful lesson was the sequence of thinking and checking, rather than treating an AI-generated image as the completed design.
PAUSE AND CHECK
A design idea still needs to meet the brief.
AI can help organise information and explore options. The team remains responsible for checking the customer’s requirements, practical production constraints and the quality of the proposal.
What remains relevant after the event
Print businesses still have tasks involving customer information, quotes, proposals, production updates, feedback and design briefs. Practical learning can help teams examine those tasks and use approved AI tools with a clear method.
This archived article does not report attendance, customer results or outcomes from the 2026 sessions. It preserves the purpose and planned content of the original announcement.
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