How Generative AI Is Transforming Meetings and Event Technology

Generative AI is creating many new opportunities across meetings and events, helping teams work more efficiently, develop content and creative concepts, personalize attendee experiences and extract greater value from event data.

As AI capabilities become more and more integrated into meeting and event technology, the focus continues to shift from understanding the technology itself to identifying exactly where it can provide practical value throughout the event lifecycle.

However, effective adoption also requires careful consideration of data privacy, accuracy, governance and human oversight. Here, we explore some of the ways generative AI can support meetings and events, alongside the considerations organizations should keep in mind.

Use Generative AI to Support Event Planning and Content Creation

Generative AI can support event teams during the planning and creative process by helping develop initial concepts, generate and refine content, summarize information and accelerate repetitive tasks.

For event content teams, AI is able to provide a very useful starting point for developing session descriptions, attendee communications, presentation concepts and other event materials. Creative and production teams can also use AI-supported tools to explore ideas and generate initial concepts more quickly, leaving more time for specialists to refine and develop the strongest options.

AI can also complement automation technologies by helping teams streamline processes that previously required significant manual input. The objective should not simply be to automate more tasks, but to identify where technology can reduce repetitive work and allow event professionals to focus their time on higher-value planning and decision-making.

Personalize the Attendee Experience

Generative AI can also help event teams with the creation of more relevant experiences for different attendee groups. When used alongside appropriate attendee data and event technology, AI can support more personalized communications, content recommendations and event journeys.

For example, attendees may have different sets of interests, objectives or content preferences. AI-supported tools can help teams use these signals to provide more relevant information or guide attendees towards sessions and experiences that are more likely to be useful to them.

The value of personalization completely depends on the quality of the underlying data and how responsibly it is used. Organizations should therefore consider personalization alongside their wider attendee data, privacy and governance strategies.

Turn Event Data Into Useful Insights

Meetings and events can generate significant amounts of information across registration, attendee engagement, sessions, feedback and other digital touchpoints. Generative AI can help teams work with this information more efficiently by summarizing data, identifying themes and making large volumes of feedback easier to analyze.

This could include summarizing attendee survey responses, identifying recurring themes in qualitative feedback or helping event teams interrogate information quicker when evaluating event performance.

Human interpretation remains important. AI-generated outputs should provide another tool for analysis rather than replacing the expertise required to understand context and make decisions based on the results.

Address Privacy, Accuracy and AI Governance

As generative AI is used more and more widely within meetings and events, organizations need clear guidelines around exactly how it should be used and where human oversight is required.

Data privacy is particularly important when AI tools interact with attendee, employee or organizational information. Event teams should always understand exactly what information is being provided to AI systems and ensure its use aligns with relevant organizational policies and privacy requirements.

Accuracy also needs to be fully considered, as generative AI can sometimes produce incorrect or misleading outputs. Therefore content and insights should always be reviewed carefully before they are used in attendee communications, event materials or business decisions.

Organizations should look to establish appropriate AI governance covering areas such as approved tools, acceptable use, data handling and human review. This allows teams to benefit from AI while maintaining appropriate control over how the technology is applied.

Start With the Right Event Use Cases

Organizations do not need to introduce AI across every single part of their meetings program all at once. A more practical approach would be to identify any specific areas where the technology could solve a real problem or improve an existing process and therefore provide measurable value.

This might involve reducing time spent on repetitive planning tasks, supporting content creation, improving attendee personalization or making event data easier to analyze. Starting with clearly defined use cases also makes it easier to evaluate results before extending AI into other areas of the meetings program.

Use AI to Enhance, Rather Than Replace, Event Expertise

Generative AI has the potential to support event professionals across planning, content creation, attendee personalization, automation and data analysis. Its greatest value will come from applying the technology to clearly defined challenges rather than adopting AI just because the capability is available to you.

Combining appropriate AI tools with human expertise, clear governance and strong data practices can help organizations with creating more efficient and informed meetings programs while maintaining the oversight required for responsible use.

Find out more about how BCD Meetings & Events is applying technology through our meeting and event technology services.