Where AI is actually used at events

At events today, AI does real work in five areas: matchmaking suggestions with a reason, face matching in event photos, first-pass screening of applications and shortlists, support inboxes that answer routine questions, and help with content and translation. The common thread is simple: AI speeds up the preparation, and the team makes the decision. This post covers how each area works, where human approval is needed, and how to test what vendors claim.

What AI changes at an event

The tasks that take most of an organizer's time are repetitive ones: reading hundreds of applications, answering the same question dozens of times, getting thousands of photos to the right people, guessing who should meet whom. AI is a good tool for first-pass filtering and ranking in this kind of work. It does not know the purpose of your event, which meetings are valuable or who belongs on stage; your team defines those.

Matchmaking: who should meet whom

Networking is the most common use. AI compares attendee profiles, interests and the event's goals, and suggests people each attendee could benefit from meeting. At trade fairs, buyers find exhibitors this way; at summits, startups find investors; at congresses, researchers in the same field find each other.

A good matchmaking suggestion is more than a name. The attendee should understand why they are seeing it: a short reason such as "You are both working on renewable energy finance" makes a meeting request more likely to be accepted, and it also makes wrong suggestions easy to spot.

Photo sharing: face matching

An event photographer takes hundreds, sometimes thousands, of shots, and attendees rarely find themselves in that gallery. Face matching compares a reference photo the attendee uploads with the gallery and shows them the photos they appear in. Attendees share their photos more easily, and sponsor visibility in those photos carries on after the event.

Because this area processes biometric data, data protection needs extra care; we come back to it below.

Application and shortlist screening

Startup competitions, buyer programs, calls for speakers and scholarship programs all bring in hundreds of applications. AI can read them, find what they have in common and where they differ, score them on the criteria your team sets and write a short reason for each one. Instead of spending days in spreadsheets, the team works from a shortlist with reasons.

The final decision must stay with people. The AI's job is to rank and explain; your team accepts or rejects.

Support: answer the routine, hand off the rest

Where is parking, when does the session start, when can we set up the booth: many questions before and during an event look alike. A support assistant that works from the program, venue details and FAQ can answer them. What matters is that it does not guess when it is unsure and hands the conversation to the team instead. As the team's replies are added to its knowledge, the same question stops reaching the team.

Content and translation help

AI is also used to draft event announcements, session summaries and information emails, and to translate them into other languages. For international events this saves real time. Someone should still read every text before it is published: a small mistake in a date, time, venue or name reaches attendees as wrong information.

Where AI should not decide alone

AI suggests; in these cases a person decides:

• Acceptance and rejection: No application result should go out before the team approves the shortlist.
• Fair selection: Gender, age, origin, religion or disability should never be selection criteria. It is better not to collect this information on the application form; if you do, make sure it is left out of the screening.
• Sensitive support topics: Refunds, complaints, accessibility needs and safety issues should go straight to the team.
• Published content: Every text that reaches attendees should be checked by a person first.

Data protection

Every AI feature processes personal data, and face matching processes biometric data, which falls under stricter rules. In Türkiye, the Personal Data Protection Law No. 6698 (KVKK) defines biometric data as a special category of personal data, and EU rules treat it in a similar way. As a general frame: tell attendees clearly what the data is used for, keep face matching optional, and decide where the data is stored and when it is deleted. For event data, the organizer is usually the data controller and the vendor acts as processor. For current rules, see the Personal Data Protection Authority. This section is not legal advice; consult a legal adviser for your own situation.

How to evaluate AI claims from vendors

Almost every event platform now says it is "AI-powered". To test the claim, ask these questions:

1. Why was this suggested? Can it show the reason behind a match or a shortlist entry? A score without a reason is hard to check.
2. What data does it use? Do the suggestions come from your event's own data or from a general model?
3. What is the measurable outcome? Can it show a concrete result, such as planned meetings, the share of questions answered, or time spent on the shortlist?
4. Who makes the final call? Do result emails or replies go out without team approval?
5. Where and how is data processed? Are storage location, encryption and deletion periods stated in writing?
6. Is it live or on the roadmap? Ask whether the feature in the demo can be used today.

Common mistakes

• Choosing AI before the goal. First decide which task takes too much time, then look for a tool that fits it.
• Leaving profile data empty. Matchmaking is only as good as what attendees fill in; ask for interests and goals on the registration form.
• Trusting suggestions without reasons. You cannot audit a suggestion when you cannot see why it was made.
• Not informing attendees. State clearly at registration which data is used and for what.
• Skipping human approval. Removing the approval step to save time can let one mistake reach hundreds of people.

How Eventiqs helps

Two AI modules are live in Eventiqs today. Smart Matching shows every suggestion with a reason and a match score. Smart Photo Sharing uses face matching to find the photos an attendee appears in. Two more are coming soon: Eventiqs Select builds screening questions from the incoming applications, prepares a scored shortlist with reasons and sends result emails once your team approves. The AI Support Assistant, in auto mode, answers routine attendee and exhibitor questions from your event data, hands the rest to your team and learns from their replies. See Smart Matching and the AI modules.